{"success":true,"course":{"all_concepts_covered":["Plan→act→verify with evidence-first outputs","Context discipline and scoped repo interaction","CLI delivery loop: explore, edit, verify, commit","Safety boundaries: permissions, rollback, and secrets hygiene","SKILL.md runbook authoring for repeatable workflows","Hooks as deterministic safety and quality gates","MCP minimal integration with allowlists and limits","Golden tasks and regression-style validation"],"assembly_rationale":"The course is designed around a single production principle: reliability comes from constrained action plus verifiable evidence. We start by teaching the mental model and context discipline, then move into a CLI execution loop that makes small, reviewable changes and verifies by running. Next, we add explicit safety controls (permissions, checkpoints, secrets hygiene). Only after the workflow is safe do we package repeatable behavior (SKILL.md), enforce it deterministically (hooks), extend capability minimally (one MCP server with allowlists), and finally lock everything down with golden-task regression validation.","average_segment_quality":8.042,"concept_key":"CONCEPT#58516c6359f5cd03cdf08b1de61005e7","considerations":["Prompt-injection awareness is addressed indirectly via scoping, permissions, and deny-lists; consider adding a dedicated injection-focused drill and repo policy document in your own org.","If you deploy remote MCP servers, add an explicit threat model review (data classification, logging retention, authZ) beyond the minimal allowlist patterns shown."],"course_id":"course_1769876579","created_at":"2026-01-31T16:49:39.089993+00:00","created_by":"Shaunak Ghosh","description":"Build a repeatable, production-grade Claude Code workflow across CLI and IDE: plan→act→verify, disciplined context use, and evidence-first outputs that are PR-ready. Then harden and scale it with safety boundaries, SKILL.md runbook-style skills, minimal hooks as guardrails, and a single MCP integration with allowlists and limits.","estimated_total_duration_minutes":58.0,"final_learning_outcomes":["Run Claude Code as a controlled plan→act→verify system that produces file/command evidence suitable for PR review.","Execute a CLI/IDE workflow that explores repositories safely, makes targeted edits, and verifies changes by running tests and inspecting diffs.","Configure safety boundaries using permissions, least privilege behaviors, checkpoint/rewind with git, and secrets hygiene practices.","Author SKILL.md skills as production runbooks with clear contracts, verification requirements, examples, and context-efficient structure.","Implement minimal hooks that deterministically block unsafe actions and enforce test/lint gates before progressing.","Integrate exactly one MCP server with strict allowlisting and operational limits, validating a single command-shaped workflow end-to-end.","Define and maintain a golden-tasks regression checklist that can be rerun after changes to skills/hooks/MCP, with durable evidence artifacts."],"generated_at":"2026-01-31T16:48:53Z","generation_error":null,"generation_progress":100.0,"generation_status":"completed","generation_step":"completed","generation_time_seconds":247.83551216125488,"image_description":"A sleek, modern thumbnail illustrating “safe automation in the terminal.” Center focal point: a polished, slightly 3D terminal window at a 3/4 angle with a minimal prompt line showing “plan → act → verify” as a clean inline breadcrumb. To the right, a compact shield icon overlays the terminal edge, suggesting permissions and guardrails. Beneath the terminal, a subtle git diff card peeks out with green and red lines, implying PR-ready changes and evidence. In the background, a faint, soft-gradient panel shows three small icons arranged vertically: a checklist (golden tasks), a hook/chain link (hooks), and a plug/socket (MCP). Use a restrained Apple-like palette: deep navy to indigo gradient background (#0A0F2C to #2E2A8F), with accents in cool cyan (#32D3FF) and light gray (#F2F2F7). Lighting is premium and realistic: gentle top-left highlight on the terminal, soft shadow for depth, no clutter, no text blocks beyond the minimal breadcrumb. Overall look: professional, high-trust, production engineering aesthetic.","image_url":"https://course-builder-course-thumbnails.s3.us-east-1.amazonaws.com/courses/course_1769876579/thumbnail.png","interleaved_practice":[{"difficulty":"mastery","correct_option_index":3.0,"question":"You’re about to let Claude Code execute a multi-step refactor that touches build scripts and release tooling. Which workflow change best enforces ‘plan gate’ and ‘least privilege’ without slowing down routine edits?","option_explanations":["Incorrect because larger prompts increase drift/cost and do not enforce runtime approvals or boundaries for risky actions.","Incorrect because blocking rm -rf is useful, but it doesn’t create a plan gate and doesn’t scope access for other risky operations.","Incorrect because YOLO mode intentionally disables permission friction, which violates least privilege even if you test later.","Correct! This combines a plan gate with scoped permissions/directories, aligning with least privilege and controlled execution."],"options":["Move all instructions into a single large CLAUDE.md so the agent doesn’t need to ask questions.","Add a pre-tool-use hook that blocks only rm -rf, and keep auto-accept enabled everywhere else.","Switch to YOLO mode, but require tests to pass at the end of the session.","Require an explicit reviewed plan before risky tool use, and scope permissions/directories to just the affected subpaths."],"question_id":"ip_q1","related_micro_concepts":["mental_model_plan_act_verify","safety_permissions_and_scoping","hooks_guardrails_gates"],"discrimination_explanation":"The right move is to gate high-risk actions with an explicit plan review and to scope access to only the necessary directories/operations, which directly reduces blast radius while preserving speed for low-risk work. YOLO mode removes the permission safety layer. A narrow rm-only block is insufficient for risky refactors. A huge always-loaded instruction file increases context bloat and doesn’t enforce execution-time gates."},{"difficulty":"mastery","correct_option_index":2.0,"question":"After clearing context to avoid drift, you need to resume work reliably next week and prove what was verified. Which artifact strategy best supports repeatability and PR discussion?","option_explanations":["Incorrect because session history is not a robust, shareable source of truth for evidence and may not persist across contexts or teammates.","Incorrect because pushing verification downstream increases blast radius and undermines the plan→act→verify discipline.","Correct! External plans plus runnable verification outputs/reports create reproducible, auditable evidence for PRs.","Incorrect because extra prompting cannot replace durable artifacts like test output, diffs, or reports."],"options":["Rely on chat history by resuming the old session, and summarize verification from memory in the PR description.","Skip saving evidence locally, because CI will eventually catch issues after merge.","Store a multi-phase plan and decisions externally, and ensure verification is captured as runnable commands with outputs or durable reports.","Write more detailed natural-language instructions in the prompt, so the model can reconstruct what happened after /clear."],"question_id":"ip_q2","related_micro_concepts":["mental_model_plan_act_verify","cli_repo_workflow","golden_tasks_validation_checklist"],"discrimination_explanation":"Durable artifacts (plans outside the session, plus command outputs/reports) survive context resets and enable evidence-first PR review. Relying on chat history is brittle and not always shareable. More prompt text doesn’t recreate evidence. Deferring to CI after merge violates verify-by-running and increases risk."},{"difficulty":"mastery","correct_option_index":0.0,"question":"A GitHub issue description includes a ‘helpful’ block of text instructing the agent to print environment variables and upload logs. You still need issue context for debugging. What is the safest approach consistent with this course?","option_explanations":["Correct! This treats the issue as untrusted and uses permissions/scoping plus evidence-first debugging to prevent exfiltration.","Incorrect because rollback cannot undo data exfiltration; secrets exposure is not reversible via git.","Incorrect because broad MCP filesystem access increases risk and violates minimal, allowlisted integration principles.","Incorrect because always-loading untrusted issue content creates persistent injection risk and bloats context."],"options":["Treat the issue as untrusted input, enforce deny/ask policies for sensitive file access, and require evidence-only debugging steps.","Let the agent follow the issue instructions, but ensure it commits changes frequently so you can rewind.","Add an MCP server that has broad filesystem access, so the agent can gather everything quickly.","Convert the entire issue thread into a SKILL.md resource so it’s always loaded for future tasks."],"question_id":"ip_q3","related_micro_concepts":["safety_permissions_and_scoping","mcp_server_minimal_integration","skills_skillmd_authoring"],"discrimination_explanation":"Issues can carry prompt-injection attempts. The correct response is to treat them as untrusted, keep strict permissions (ask/deny for sensitive paths like .env), and require tool-first, evidence-based debugging. Git rewinds don’t undo secret exfiltration. Broad MCP access expands the blast radius. Promoting untrusted text into always-loaded skill context is the opposite of progressive disclosure and safety."},{"difficulty":"mastery","correct_option_index":1.0,"question":"You’re writing a SKILL.md for ‘PR-ready bugfixes.’ Which SKILL.md section design most directly prevents endless retries and forces verify-by-running?","option_explanations":["Incorrect because capabilities alone don’t constrain scope, define steps, or force evidence-producing verification.","Correct! Verification commands plus stop conditions and failure handling operationalize plan→act→verify and prevent runaway retries.","Incorrect because it increases context without enforcing verification or stop conditions, encouraging uncontrolled looping.","Incorrect because examples are insufficient as a contract; they don’t guarantee verification or define what to do when checks fail."],"options":["A ‘Capabilities’ list stating the agent can edit files and run commands, without specifying constraints.","A ‘Verification’ block requiring specific commands and expected outputs, plus explicit stop conditions and failure-handling paths.","A long ‘Background’ narrative explaining the bug history, with no stop conditions so the agent can keep trying.","Examples only, because the model can infer the steps from prior successful runs."],"question_id":"ip_q4","related_micro_concepts":["skills_skillmd_authoring","cli_repo_workflow","mental_model_plan_act_verify"],"discrimination_explanation":"A production skill must encode verification as runnable commands and define stop/failure behavior to prevent looping or risky improvisation. Background-only increases tokens without control. Capabilities without constraints are too vague. Examples help, but cannot replace explicit verification and stop rules."},{"difficulty":"mastery","correct_option_index":0.0,"question":"You add a new MCP server to fetch issue context, but you want to avoid scope creep and maintain auditability. Which integration choice best matches the course’s ‘one server, allowlist, limits’ requirement?","option_explanations":["Correct! Minimal allowlisted tools with limits and logs match safe, reproducible MCP usage.","Incorrect because broad exposure increases attack surface and makes behavior less predictable; hooks are not a substitute for least-privilege design.","Incorrect because skipping authentication for remote tools is a serious privacy and integrity risk.","Incorrect because always-loading tool schemas increases token cost and encourages unnecessary tool use."],"options":["Allowlist exactly one or two read-only tools/resources needed for the command, add timeouts/rate limits, and log interactions for reproducibility.","Expose every available MCP tool so Claude can decide what’s useful, and rely on hooks to clean up mistakes later.","Prefer a remote MCP server with no authentication so onboarding is frictionless, then add security later if needed.","Bundle the MCP schema into the main system prompt so it’s always available without extra calls."],"question_id":"ip_q5","related_micro_concepts":["mcp_server_minimal_integration","hooks_guardrails_gates","mental_model_plan_act_verify"],"discrimination_explanation":"The correct approach is minimal surface area: allowlist only what you need, apply operational limits, and log tool calls so inputs are auditable and rerunnable. Exposing everything invites misuse. Unauthenticated remote servers break the trust boundary. Preloading schemas bloats context and undermines progressive disclosure."},{"difficulty":"mastery","correct_option_index":0.0,"question":"Your team updates hooks and skills in the repo. What is the best ‘golden tasks’ regression approach to detect workflow regressions early and make failures actionable?","option_explanations":["Correct! This is the golden-tasks model: small, repeatable tasks plus durable evidence for debugging and audit.","Incorrect because one broad run lacks coverage and doesn’t isolate failures into actionable signals.","Incorrect because self-attestation is not verification; evidence-first requires runnable outputs and reviewable artifacts.","Incorrect because integration behavior can be validated via golden tasks, logs, and controlled command runs, not only unit tests."],"options":["Define 5–10 small, high-value tasks with preconditions, steps, and expected results, and produce durable evidence (reports/outputs) for each run.","Run a single end-to-end flow once, and if it passes, assume all workflows are fine.","Ask Claude to self-certify that nothing risky changed, because the diff is too large to review.","Focus only on unit tests, because hooks and MCP integrations are not testable reliably."],"question_id":"ip_q6","related_micro_concepts":["golden_tasks_validation_checklist","hooks_guardrails_gates","skills_skillmd_authoring"],"discrimination_explanation":"Golden tasks should be a bounded, repeatable checklist with explicit expectations and durable evidence artifacts, so regressions are caught quickly and can be debugged from outputs. A single run is too coarse. Hooks/MCP can and should be validated through controlled tasks and logs. Self-certification is not evidence."}],"is_public":true,"key_decisions":["Segment 5fhcklZe-qE_262_479: Chosen first to establish the course’s non-negotiable plan→act→verify loop with constraints and stop conditions, which all later automation builds on.","Segment 5fhcklZe-qE_26_284: Added immediately after to operationalize context discipline (rules, scoping, specificity) without re-teaching plan→act→verify.","Segment kZ-zzHVUrO4_44_235: Selected to introduce repo exploration and clarifying questions as the first CLI-phase behavior before any edits.","Segment kZ-zzHVUrO4_237_416: Placed next to move from exploration to phased execution, diff review, staging, and clean incremental commits.","Segment gv0WHhKelSE_916_1103: Used to harden the CLI loop with verify-by-running, to-do monitoring, and interruption/rewind controls—complementing (not duplicating) the earlier diff-review focus.","Segment gv0WHhKelSE_634_915: Anchors safety boundaries with explicit permission management and context controls (/clear vs /compact) in an official, production-oriented framing.","Segment cjW6ofe7AY4_245_475: Adds the practical checkpoint/rewind mechanism (frequent git commits) and session drift control as an operational safety pattern.","Segment vMhDkt5JNN0_0_187: Included to make secrets hygiene concrete with the correct remediation model (treat pushed secrets as leaked; rotate), which is often mishandled in real incidents.","Segment FOqbS_llAms_220_435: Chosen as the most direct, non-handwavy SKILL.md structure guide (I/O, examples, progressive disclosure) to support repeatable skills.","Segment 421T2iWTQio_1105_1410: Placed after SKILL.md structure to show real wiring/organization patterns (TOC, required vs optional context) for maintainable skills in a repo.","Segment J5B9UGTuNoM_665_943: Selected as the most concrete “safety gate” implementation for hooks (pre-tool denial + audit logs), matching the course’s safety/reliability emphasis.","Segment zxMjOqM7DFs_1163_1431: Added to cover test/lint gating as a deterministic quality loop, complementing the safety hook with verification gates and trace artifacts.","Segment RhTiAOGwbYE_1190_1395: Chosen to teach practical MCP client configuration and the security boundary (local vs remote, auth/privacy), without going deep into MCP server engineering.","Segment _PahacBRxhE_199_446: Added to demonstrate the key production hardening requirement: tool allowlisting/limits, plus end-to-end validation of a single command-shaped use case.","Segment NuKrtiJqW3Y_243_455: Used as the capstone for “golden tasks” thinking—bounded test files, expected results, and durable reports that survive compaction—forming a regression checklist foundation."],"micro_concepts":[{"prerequisites":[],"learning_outcomes":["Apply a consistent plan→act→verify loop for every change request","Use context discipline to minimize token waste and reduce risky broad edits","Demand and produce evidence-first outputs (file paths, line refs, command results) suitable for PR discussion"],"difficulty_level":"intermediate","concept_id":"mental_model_plan_act_verify","name":"Plan→Act→Verify mental model mastery","description":"Adopt Claude Code’s production mental model: explicit planning, controlled execution, and verification with repo evidence. Emphasize context discipline (only load what’s needed) and evidence-first behavior (cite files, commands, test output).","sequence_order":0.0},{"prerequisites":["mental_model_plan_act_verify"],"learning_outcomes":["Perform targeted repo exploration (find entry points, configs, failing tests) without overloading context","Execute an iterative debug→fix→tests loop that converges quickly and produces runnable evidence","Generate PR-ready deliverables: scoped diff, rationale, risk notes, and verification commands/output"],"difficulty_level":"intermediate","concept_id":"cli_repo_workflow","name":"CLI repo exploration to PR-ready output","description":"Run a tight CLI workflow: explore the repo with targeted reads, make minimal edits, iterate debug→fix→tests, and produce PR-ready output (summary, diff, test evidence). Include IDE adjacency (VS Code/Cursor) as an editing surface while keeping the loop CLI-verifiable.","sequence_order":1.0},{"prerequisites":["mental_model_plan_act_verify","cli_repo_workflow"],"learning_outcomes":["Set allow/ask/deny policies to minimize blast radius while preserving productivity","Apply directory scoping so tooling access matches the task boundary","Use checkpoint/rewind to recover from risky or incorrect edits efficiently","Prevent secrets exposure and recognize prompt-injection vectors from issues, docs, and code comments"],"difficulty_level":"advanced","concept_id":"safety_permissions_and_scoping","name":"Safety: permissions, scoping, secrets, injection","description":"Configure safety boundaries: allow/ask/deny permissions, least privilege, and strict directory scoping. Add operational safety tools (checkpoint/rewind) plus secrets hygiene and prompt-injection awareness for repos, issues, and pasted logs.","sequence_order":2.0},{"prerequisites":["mental_model_plan_act_verify","safety_permissions_and_scoping"],"learning_outcomes":["Write skill.md with purpose + constraints that prevent scope creep and unsafe actions","Define step sequences that are tool-first and checkpointed (commands, file ops, diffs)","Add verification blocks that require runnable evidence (tests/lint/build)","Specify stop conditions and failure handling to avoid endless loops or risky retries"],"difficulty_level":"advanced","concept_id":"skills_skillmd_authoring","name":"skill.md: constraints, steps, verification","description":"Author robust skill.md skills that behave like production runbooks: clear purpose, constraints, tool-first steps, explicit verification, examples, stop conditions, and failure handling. Optimize for repeatable execution and predictable outputs.","sequence_order":3.0},{"prerequisites":["safety_permissions_and_scoping","skills_skillmd_authoring"],"learning_outcomes":["Design a plan gate that forces explicit intent review before high-risk actions","Add test/lint gates that fail fast and produce actionable output for iteration","Create a secrets/unsafe-files safety gate to block common leak paths","Keep hook logic minimal, deterministic, and easy to override with explicit approval"],"difficulty_level":"advanced","concept_id":"hooks_guardrails_gates","name":"Hooks: plan, test, secrets guardrails","description":"Implement minimal but high-leverage hooks as guardrails: a plan gate for risky actions, a test/lint gate for code changes, and a safety gate to prevent secrets/unsafe files from being read or modified. Keep hooks auditable and fast.","sequence_order":4.0},{"prerequisites":["safety_permissions_and_scoping","hooks_guardrails_gates"],"learning_outcomes":["Integrate one MCP server and restrict it with allowlists and resource limits","Define one clear command use case that fetches context safely and deterministically","Log and audit MCP interactions so outputs are reproducible and reviewable","Prevent scope creep: keep MCP surface area minimal until validation proves value"],"difficulty_level":"advanced","concept_id":"mcp_server_minimal_integration","name":"MCP: one server, allowlist, limits","description":"Add a single MCP server with strict allowlisting and operational limits (timeouts, scope, rate). Implement one command-shaped use case (e.g., fetch issue context or run PR review context gathering) that produces auditable inputs for Claude Code.","sequence_order":5.0},{"prerequisites":["cli_repo_workflow","hooks_guardrails_gates","mcp_server_minimal_integration"],"learning_outcomes":["Define 5–10 golden tasks that cover your highest-value workflows and failure modes","Build a regression checklist that is runnable locally and/or in CI with deterministic outputs","Adopt verify-by-running as default: no “seems correct” without command output","Produce evidence links suitable for PRs and incident-style retrospectives (what ran, what changed, what passed)"],"difficulty_level":"intermediate","concept_id":"golden_tasks_validation_checklist","name":"Golden tasks regression and evidence links","description":"Create a 5–10 item “golden tasks” regression checklist that you can rerun after changes to Claude Code setup (skills/hooks/MCP). Require verify-by-running (tests/lint/build/format) and linkable repo evidence (logs, diffs, CI run URLs).","sequence_order":6.0}],"overall_coherence_score":8.87,"pedagogical_soundness_score":8.75,"prerequisites":["Comfortable with Git workflows (diff, stage, commit, revert)","Ability to run and interpret tests/lint/typecheck locally","Familiarity with terminal-based repo navigation (grep/find, running scripts)","Basic understanding of secrets handling and least-privilege access"],"rejected_segments_rationale":"Several strong planning segments (e.g., additional plan-mode demos and multi-agent orchestration) were excluded due to redundancy with the initial plan→act→verify foundation and the repo exploration/execution phases already covered. Dedicated CI/CD pipeline segments were not included to stay under 60 minutes; instead, verification gates are taught via hooks/test-lint loops and golden-task style reporting. Deep MCP server-building segments (longer implementations) were avoided because the learner request requires adding one server with strict limits and using one command safely—not becoming an MCP framework engineer in this 60-minute course.","segments":[{"duration_seconds":217.11731578947365,"concepts_taught":["Plan-first prompting to reduce implementation risk","Action constraints: file allowlists, no-new-deps, preserve behavior","Stop conditions: avoid guessing; output options/trade-offs","Model selection by phase (planning vs implementation)","Verification mindset: review output like junior pair programming"],"quality_score":8.190000000000001,"before_you_start":"You already know how to review code and run tests. In this segment, you’ll lock in the plan→act→verify loop, using explicit constraints and stop conditions so Claude Code behaves like a supervised junior engineer, not an autonomous editor.","title":"Plan, Constrain Actions, Verify Evidence","before_you_start_avatar_video_url":"","url":"https://www.youtube.com/watch?v=5fhcklZe-qE&t=262s","sequence_number":1.0,"prerequisites":["Ability to evaluate implementation plans and architectural trade-offs","Familiarity with code review practices and testing basics","Understanding of constraints common in production repos (dependency policy, file boundaries)"],"learning_outcomes":["Elicit a detailed implementation plan before any code changes","Convert the plan into constrained execution instructions (scope, dependencies, deliverables)","Add a non-guessing stop condition that forces clarification or options","Review AI-generated code critically by questioning patterns, error cases, and performance impact"],"video_duration_seconds":794.0,"transition_from_previous":{"suggested_bridging_content":"","from_segment_id":"","overall_transition_score":10.0,"to_segment_id":"5fhcklZe-qE_262_479","pedagogical_progression_score":10.0,"vocabulary_consistency_score":10.0,"knowledge_building_score":10.0,"transition_explanation":"N/A (first segment)"},"before_you_start_audio_url":"https://course-builder-course-assets.s3.us-east-1.amazonaws.com/audio/courses/course_1769876579/segments/5fhcklZe-qE_262_479/before-you-start.mp3","segment_id":"5fhcklZe-qE_262_479","micro_concept_id":"mental_model_plan_act_verify"},{"duration_seconds":258.2213333333333,"concepts_taught":["Context discipline via repo indexing","Global vs project-specific rules as reusable guardrails","Prompt specificity as an anti-hallucination strategy","Targeted context inclusion to reduce search/cost","Conversation scoping to control cost and drift"],"quality_score":7.75,"before_you_start":"Now that you’re planning before acting, the next risk is noisy or excessive context. Here you’ll learn how to scope conversations, encode reusable rules, and give precise, testable instructions so Claude Code can operate with fewer guesses and safer boundaries.","title":"Context Discipline Through Rules and Scope","before_you_start_avatar_video_url":"","url":"https://www.youtube.com/watch?v=5fhcklZe-qE&t=26s","sequence_number":2.0,"prerequisites":["Comfort reading/modifying a codebase","Basic understanding of repositories, modules, and coding standards","Familiarity with prompting LLMs at a basic level"],"learning_outcomes":["Set up reusable global and repo-specific AI rules to avoid re-specifying standards","Write prompts that are concrete, testable, and less ambiguity-prone","Scope AI context to specific files/regions to reduce cost and improve correctness","Structure AI interactions as focused tasks to minimize drift and token bloat"],"video_duration_seconds":794.0,"transition_from_previous":{"suggested_bridging_content":"","from_segment_id":"5fhcklZe-qE_262_479","overall_transition_score":9.25,"to_segment_id":"5fhcklZe-qE_26_284","pedagogical_progression_score":9.0,"vocabulary_consistency_score":9.5,"knowledge_building_score":9.5,"transition_explanation":"Builds on plan→act→verify by improving the quality and safety of the ‘plan’ input through scoping and specificity."},"before_you_start_audio_url":"https://course-builder-course-assets.s3.us-east-1.amazonaws.com/audio/courses/course_1769876579/segments/5fhcklZe-qE_26_284/before-you-start.mp3","segment_id":"5fhcklZe-qE_26_284","micro_concept_id":"mental_model_plan_act_verify"},{"duration_seconds":191.89414285714284,"concepts_taught":["Claude Code mental model: plan-first before edits","Repo exploration via subagents/search prior to implementation","Using clarifying questions to reduce ambiguity","Using memory/rules to shape behavior (concise plans, unresolved questions)","Keeping planning separate from coding to reduce risk"],"quality_score":8.084999999999999,"before_you_start":"With context discipline in place, you’re ready to work in a real repository. This segment shows how to explore and clarify first—using plan mode and focused search—so your execution phase starts from evidence, not assumptions.","title":"Explore the Repo Before Writing Code","before_you_start_avatar_video_url":"","url":"https://www.youtube.com/watch?v=kZ-zzHVUrO4&t=44s","sequence_number":3.0,"prerequisites":["Basic familiarity with using Claude Code in a terminal/IDE","General understanding of working in a codebase (files, search, CLI tools)"],"learning_outcomes":["Enable and use plan mode to prompt exploration before edits","Elicit and answer clarifying questions to de-risk implementation","Use memory/rules to enforce concise planning outputs and surfaced unknowns","Decide when to keep planning vs begin execution"],"video_duration_seconds":611.0,"transition_from_previous":{"suggested_bridging_content":"","from_segment_id":"5fhcklZe-qE_26_284","overall_transition_score":9.05,"to_segment_id":"kZ-zzHVUrO4_44_235","pedagogical_progression_score":9.0,"vocabulary_consistency_score":9.0,"knowledge_building_score":9.0,"transition_explanation":"Applies the planning mindset to a concrete repo workflow: gather evidence and clarify before touching code."},"before_you_start_audio_url":"https://course-builder-course-assets.s3.us-east-1.amazonaws.com/audio/courses/course_1769876579/segments/kZ-zzHVUrO4_44_235/before-you-start.mp3","segment_id":"kZ-zzHVUrO4_44_235","micro_concept_id":"cli_repo_workflow"},{"duration_seconds":179.52256410256413,"concepts_taught":["Switching from planning to execution (accept edits) after alignment","Context discipline: checking remaining context/tokens during work","CLI/IDE workflow: pause agent, open VS Code, inspect diffs","Keeping phases clean via staging/committing between phases","Permissioning repeated safe commands (e.g., build) to reduce friction"],"quality_score":7.794999999999999,"before_you_start":"You have a plan and you’ve found the right entry points. Now you’ll run the work in phases, stop to inspect diffs, and stage changes deliberately. The goal is clean boundaries, fast rollback, and PR-friendly commits.","title":"Execute in Phases With Diff Reviews","before_you_start_avatar_video_url":"","url":"https://www.youtube.com/watch?v=kZ-zzHVUrO4&t=237s","sequence_number":4.0,"prerequisites":["Comfort with git diff/staging/commits","Basic terminal usage and opening VS Code from CLI","Understanding of what 'accept edits' implies in agentic coding tools"],"learning_outcomes":["Run implementation in explicit phases and keep the agent on-task per phase","Use VS Code + git diff as the verification surface for agent edits","Use staging/commits to establish phase boundaries and reduce confusion","Resume Claude sessions after running external terminal commands"],"video_duration_seconds":611.0,"transition_from_previous":{"suggested_bridging_content":"","from_segment_id":"kZ-zzHVUrO4_44_235","overall_transition_score":8.95,"to_segment_id":"kZ-zzHVUrO4_237_416","pedagogical_progression_score":8.8,"vocabulary_consistency_score":9.2,"knowledge_building_score":9.0,"transition_explanation":"Moves from exploration and clarification into controlled implementation with review checkpoints (diff/stage/commit)."},"before_you_start_audio_url":"https://course-builder-course-assets.s3.us-east-1.amazonaws.com/audio/courses/course_1769876579/segments/kZ-zzHVUrO4_237_416/before-you-start.mp3","segment_id":"kZ-zzHVUrO4_237_416","micro_concept_id":"cli_repo_workflow"},{"duration_seconds":187.09359999999992,"concepts_taught":["Plan→act→verify prompting pattern (ask for plan before edits)","Using to-do lists as a live execution monitor","Interrupt control (Escape) to prevent drift","Verify-by-running: TDD, small changes, run tests/lint","Checkpointing via regular commits","Conversation rewind/reset of tool expansion (Escape twice)"],"quality_score":8.25,"before_you_start":"You can now execute in phases and review diffs, but production confidence comes from running evidence. 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Now you’ll reduce blast radius with permissions and controlled context resets. You’ll learn when to allow, when to require approval, and how to use /clear and /compact to prevent drift.","title":"Set Permissions and Control Context","before_you_start_avatar_video_url":"","url":"https://www.youtube.com/watch?v=gv0WHhKelSE&t=634s","sequence_number":6.0,"prerequisites":["Familiarity with markdown files in repos","Basic CI/test command awareness in your codebase"],"learning_outcomes":["Design a CLAUDE.md that encodes how to work safely and consistently in a repo","Configure permissions to balance speed with least-risk operation (approve-by-command)","Choose /clear vs /compact to manage long sessions without losing essential state"],"video_duration_seconds":1553.0,"transition_from_previous":{"suggested_bridging_content":"","from_segment_id":"gv0WHhKelSE_916_1103","overall_transition_score":8.95,"to_segment_id":"gv0WHhKelSE_634_915","pedagogical_progression_score":8.8,"vocabulary_consistency_score":9.2,"knowledge_building_score":9.0,"transition_explanation":"Builds on the CLI verify loop by adding explicit, system-level safety controls that govern tool access and context lifecycle."},"before_you_start_audio_url":"https://course-builder-course-assets.s3.us-east-1.amazonaws.com/audio/courses/course_1769876579/segments/gv0WHhKelSE_634_915/before-you-start.mp3","segment_id":"gv0WHhKelSE_634_915","micro_concept_id":"safety_permissions_and_scoping"},{"duration_seconds":230.68,"concepts_taught":["Manual checkpoint/rewind strategy using frequent Git commits","Decision rule: commit immediately when a step works","Recovery workflow: reset/rewind to last good commit after mistakes","Context discipline with /clear to reduce drift/hallucinations","Cost control via minimizing accumulated context tokens"],"quality_score":7.925,"before_you_start":"Permissions limit what can happen, but you also need fast recovery when changes go sideways. Here you’ll use frequent git commits as checkpoints, and reset context intentionally to keep Claude Code accurate and cost-efficient over long sessions.","title":"Checkpoint Often, Rewind Without Drama","before_you_start_avatar_video_url":"","url":"https://www.youtube.com/watch?v=cjW6ofe7AY4&t=245s","sequence_number":7.0,"prerequisites":["Working knowledge of Git commits and reverting/resetting to a prior commit","Basic understanding of how LLM context accumulation affects quality and cost"],"learning_outcomes":["Implement a checkpointing strategy by committing each verified change set","Recover quickly from bad agent actions by returning to the last good commit","Use /clear at natural boundaries to keep context minimal and reduce drift","Design longer Claude Code sessions with explicit boundaries between tasks"],"video_duration_seconds":842.0,"transition_from_previous":{"suggested_bridging_content":"","from_segment_id":"gv0WHhKelSE_634_915","overall_transition_score":8.86,"to_segment_id":"cjW6ofe7AY4_245_475","pedagogical_progression_score":8.6,"vocabulary_consistency_score":9.0,"knowledge_building_score":9.0,"transition_explanation":"Complements permissions with a recovery workflow: even approved actions can be reverted quickly via checkpoints."},"before_you_start_audio_url":"https://course-builder-course-assets.s3.us-east-1.amazonaws.com/audio/courses/course_1769876579/segments/cjW6ofe7AY4_245_475/before-you-start.mp3","segment_id":"cjW6ofe7AY4_245_475","micro_concept_id":"safety_permissions_and_scoping"},{"duration_seconds":187.102,"concepts_taught":["Secrets hygiene and threat model (cascading exposure)","Key realization: once pushed, a secret is leaked","Remediation principle: rotate credentials, not just delete","Proactive controls: push protection to block secret commits","Governance control: delegated bypass and review","Reactive controls: secret scanning alerts, triage, and validity checks","Detection strategies: provider partnerships, low false positives, AI-based detection, and custom patterns"],"quality_score":7.63,"before_you_start":"Checkpointing helps you undo code changes, but secrets leaks don’t rewind the same way. This segment gives you the right threat model: if a secret is committed or pushed, treat it as leaked, rotate it, and add controls to prevent repeats.","title":"Secrets Hygiene: Rotate, Don’t Just Delete","before_you_start_avatar_video_url":"","url":"https://www.youtube.com/watch?v=vMhDkt5JNN0&t=0s","sequence_number":8.0,"prerequisites":["Basic understanding of credentials (API keys/tokens/passwords)","Familiarity with Git concepts like commits/pushes and repository visibility (private vs public)"],"learning_outcomes":["Explain why secret exposure can occur through cascading events even in private repos","Apply the rule: if a secret was pushed, treat it as compromised and rotate it","Differentiate proactive controls (push protection) from reactive controls (secret scanning alerts)","Describe governance options for exceptions (bypass vs delegated bypass review)","Outline an operational response loop: detect → triage → validate active/leaked status → rotate/mitigate"],"video_duration_seconds":191.0,"transition_from_previous":{"suggested_bridging_content":"","from_segment_id":"cjW6ofe7AY4_245_475","overall_transition_score":8.78,"to_segment_id":"vMhDkt5JNN0_0_187","pedagogical_progression_score":8.7,"vocabulary_consistency_score":9.0,"knowledge_building_score":8.8,"transition_explanation":"Builds on safety by covering the highest-impact failure mode that persists even after code rollback: exposed credentials."},"before_you_start_audio_url":"https://course-builder-course-assets.s3.us-east-1.amazonaws.com/audio/courses/course_1769876579/segments/vMhDkt5JNN0_0_187/before-you-start.mp3","segment_id":"vMhDkt5JNN0_0_187","micro_concept_id":"safety_permissions_and_scoping"},{"duration_seconds":215.1845945945946,"concepts_taught":["SKILL.md as a skill’s system prompt and interface","Skill specialization for repeatable workflows","Skill.md sections: description, capabilities, input/output, examples","Progressive disclosure for context management","Token budgeting: metadata vs tools vs large resources","Skill selection by similarity and discard if irrelevant","Manual/organized-manual mental model for scaling agent knowledge"],"quality_score":8.14,"before_you_start":"You’ve built safety boundaries and a reliable execution loop. Now you’ll package that behavior so it repeats. This segment shows how to structure SKILL.md with clear inputs, outputs, examples, and token-efficient progressive disclosure.","title":"Design SKILL.md as a Runbook","before_you_start_avatar_video_url":"","url":"https://www.youtube.com/watch?v=FOqbS_llAms&t=220s","sequence_number":9.0,"prerequisites":["Understanding of context windows/tokens in LLMs","General familiarity with tool-based agents and why tool descriptions cost tokens"],"learning_outcomes":["Describe SKILL.md’s role as the contract for what a skill does and how to use its tools","Apply a progressive-disclosure mental model to design skills that are context-efficient","Explain why ‘metadata-first’ skill loading can scale better than always-on tool registries","Identify the practical implication: skills should be specialized, prescriptive (ordered steps), and lightweight until invoked"],"video_duration_seconds":828.0,"transition_from_previous":{"suggested_bridging_content":"","from_segment_id":"vMhDkt5JNN0_0_187","overall_transition_score":8.86,"to_segment_id":"FOqbS_llAms_220_435","pedagogical_progression_score":8.8,"vocabulary_consistency_score":8.8,"knowledge_building_score":9.0,"transition_explanation":"Moves from personal workflow discipline to codifying that discipline into reusable skill contracts."},"before_you_start_audio_url":"https://course-builder-course-assets.s3.us-east-1.amazonaws.com/audio/courses/course_1769876579/segments/FOqbS_llAms_220_435/before-you-start.mp3","segment_id":"FOqbS_llAms_220_435","micro_concept_id":"skills_skillmd_authoring"},{"duration_seconds":304.95900000000006,"concepts_taught":["Claude Code skills directory structure","Portability of Skills across app and Claude Code","SKILL.md design: detailed description for correct routing","Table-of-contents pattern for large skills","Required vs optional context files (progressive disclosure in practice)","Pointing to context outside the skills folder"],"quality_score":8.14,"before_you_start":"You can now write SKILL.md specs. Next, you’ll make them operational in Claude Code with a maintainable folder structure. You’ll separate mandatory context from optional references, so skills stay fast, predictable, and easy to audit.","title":"Wire Skills Into Your Repo Cleanly","before_you_start_avatar_video_url":"","url":"https://www.youtube.com/watch?v=421T2iWTQio&t=1105s","sequence_number":10.0,"prerequisites":["Comfort working in a repo and editing markdown","Basic understanding of agent context loading and tool usage","Familiarity with Claude Code/Cursor at a high level"],"learning_outcomes":["Set up a Claude Code-compatible skills directory layout in a project","Design a SKILL.md description that correctly routes the agent to the skill","Use a TOC/index pattern to reduce agent search cost in complex skills","Define mandatory vs optional context to enforce context discipline","Reference shared assets outside the skills folder without copying them"],"video_duration_seconds":2170.0,"transition_from_previous":{"suggested_bridging_content":"","from_segment_id":"FOqbS_llAms_220_435","overall_transition_score":8.86,"to_segment_id":"421T2iWTQio_1105_1410","pedagogical_progression_score":8.6,"vocabulary_consistency_score":9.0,"knowledge_building_score":9.2,"transition_explanation":"Builds from SKILL.md design to real integration patterns that control what gets read and when."},"before_you_start_audio_url":"","segment_id":"421T2iWTQio_1105_1410","micro_concept_id":"skills_skillmd_authoring"},{"duration_seconds":277.8044,"concepts_taught":["Pre-tool-use hook implementation pattern","Blocking dangerous shell commands (rm patterns)","Secrets hygiene by blocking environment file access","Parsing hook payload from stdin (JSON)","Using tool_name and tool_input to decide allow/deny","Persisting hook input/output to logs for auditability","Verifying the guardrail by attempting the blocked action"],"quality_score":8.225000000000001,"before_you_start":"Skills standardize behavior, but production needs enforcement. In this segment, you’ll implement a pre-tool hook that inspects tool requests, blocks dangerous commands, and prevents access to secret-bearing files. You’ll also log decisions for audits.","title":"Build a Deterministic Pre-Tool Safety Gate","before_you_start_avatar_video_url":"","url":"https://www.youtube.com/watch?v=J5B9UGTuNoM&t=665s","sequence_number":11.0,"prerequisites":["Basic scripting ability (Python or equivalent)","Understanding of common destructive shell operations and why they’re risky","Basic understanding of secret storage patterns (.env, environment variables)"],"learning_outcomes":["Implement a pre-tool-use guardrail that blocks specific risky operations before execution","Use hook payload fields (tool name and tool input) to write targeted safety policies","Add secrets-oriented deny rules (e.g., prevent reading env files) to reduce leakage risk","Validate the safety gate by running a controlled “attempted violation” and confirming it is blocked","Log policy decisions/payloads for later audit and debugging"],"video_duration_seconds":1850.0,"transition_from_previous":{"suggested_bridging_content":"","from_segment_id":"421T2iWTQio_1105_1410","overall_transition_score":8.82,"to_segment_id":"J5B9UGTuNoM_665_943","pedagogical_progression_score":8.5,"vocabulary_consistency_score":9.0,"knowledge_building_score":9.1,"transition_explanation":"Transitions from authored guidance (skills) to enforceable guardrails (hooks) that can override agent intent."},"before_you_start_audio_url":"https://course-builder-course-assets.s3.us-east-1.amazonaws.com/audio/courses/course_1769876579/segments/J5B9UGTuNoM_665_943/before-you-start.mp3","segment_id":"J5B9UGTuNoM_665_943","micro_concept_id":"hooks_guardrails_gates"},{"duration_seconds":267.3448514851484,"concepts_taught":["Safe automation pattern: plan file + progress log","Verification gates: write tests and lint per feature","Fail-fast behavior: don’t proceed when tests fail","Hands-off execution: unattended task execution loop","Repeatable workflow via files (prd.md, progress.txt)"],"quality_score":8.015,"before_you_start":"You can now block unsafe tool actions. Next, you’ll enforce correctness with verification gates. This segment shows a loop that requires a plan artifact and then runs tests and lint after each feature, stopping immediately on failures.","title":"Add Test and Lint Gates per Step","before_you_start_avatar_video_url":"","url":"https://www.youtube.com/watch?v=zxMjOqM7DFs&t=1163s","sequence_number":12.0,"prerequisites":["Understanding of tests and linters as quality gates","Comfort with the idea of running scripts/automation in a repo","Basic familiarity with PRDs/task lists"],"learning_outcomes":["Design an agent workflow that gates progress on tests and lint results","Explain why ‘feature-by-feature with tests’ prevents compounding failures","Use progress logging artifacts to make automation auditable and restartable","Map the loop concept to CI-style verification (build→test→lint→continue)"],"video_duration_seconds":1888.0,"transition_from_previous":{"suggested_bridging_content":"","from_segment_id":"J5B9UGTuNoM_665_943","overall_transition_score":8.82,"to_segment_id":"zxMjOqM7DFs_1163_1431","pedagogical_progression_score":8.6,"vocabulary_consistency_score":8.7,"knowledge_building_score":8.9,"transition_explanation":"Pairs the safety gate (block harmful actions) with quality gates (prove changes work) to make automation repeatable."},"before_you_start_audio_url":"https://course-builder-course-assets.s3.us-east-1.amazonaws.com/audio/courses/course_1769876579/segments/zxMjOqM7DFs_1163_1431/before-you-start.mp3","segment_id":"zxMjOqM7DFs_1163_1431","micro_concept_id":"hooks_guardrails_gates"},{"duration_seconds":205.42157894736852,"concepts_taught":["Using an existing MCP server before building one","MCP server hosting modes: local vs remote","Transport mechanisms: standard I/O vs HTTP","IDE/agent MCP configuration via MCP.json","Security considerations for remote MCP servers (auth, privacy, trust)"],"quality_score":8.174999999999999,"before_you_start":"With hooks enforcing local guardrails, you’re ready to add external capability—but only in a controlled way. This segment shows how to configure an MCP server, choose local versus remote hosting, and reason about auth and privacy before sending data out.","title":"Configure One MCP Server Safely","before_you_start_avatar_video_url":"","url":"https://www.youtube.com/watch?v=RhTiAOGwbYE&t=1190s","sequence_number":13.0,"prerequisites":["Basic familiarity with JSON config files","Understanding of local vs remote services","Basic understanding of authentication/authorization concepts"],"learning_outcomes":["Choose between standard I/O vs HTTP based on deployment topology","Explain how IDEs/agents typically register MCP servers via MCP.json","Identify key risks when using remote third-party MCP servers","State concrete controls to consider: auth, authorization, privacy, trustworthiness"],"video_duration_seconds":2414.0,"transition_from_previous":{"suggested_bridging_content":"","from_segment_id":"zxMjOqM7DFs_1163_1431","overall_transition_score":8.7,"to_segment_id":"RhTiAOGwbYE_1190_1395","pedagogical_progression_score":8.5,"vocabulary_consistency_score":8.8,"knowledge_building_score":8.8,"transition_explanation":"Moves from local enforcement (hooks) to controlled extension (MCP) while keeping a least-privilege mindset."},"before_you_start_audio_url":"https://course-builder-course-assets.s3.us-east-1.amazonaws.com/audio/courses/course_1769876579/segments/RhTiAOGwbYE_1190_1395/before-you-start.mp3","segment_id":"RhTiAOGwbYE_1190_1395","micro_concept_id":"mcp_server_minimal_integration"},{"duration_seconds":246.73315789473682,"concepts_taught":["Creating an MCP server trigger in n8n","Defining MCP tools inside a server (e.g., calendar create/delete)","Configuring an MCP client via SSE endpoint (production URL)","Production hardening: authentication and path configuration (best-practice mention)","Tool allowlisting/limits to constrain agent actions (guardrails)","End-to-end validation by running a test prompt"],"quality_score":8.15,"before_you_start":"You’ve connected an MCP server and defined a trust boundary. Now you’ll harden it by allowlisting only the tools you want exposed, and validating a single command-style workflow end-to-end. This keeps MCP useful, auditable, and bounded.","title":"Allowlist MCP Tools and Validate End-to-End","before_you_start_avatar_video_url":"","url":"https://www.youtube.com/watch?v=_PahacBRxhE&t=199s","sequence_number":14.0,"prerequisites":["Basic familiarity with n8n concepts (nodes/workflows)","General understanding of MCP clients/servers and tools","Access to a tool integration (e.g., Google Calendar) for replication"],"learning_outcomes":["Create an MCP server with a trigger and multiple tools inside n8n","Configure an MCP client to connect to a server via its SSE/production endpoint","Apply a tool allowlist/limits pattern to reduce risky agent actions (e.g., prevent deletes)","Validate the setup by executing a real request and confirming the external side effect"],"video_duration_seconds":461.0,"transition_from_previous":{"suggested_bridging_content":"","from_segment_id":"RhTiAOGwbYE_1190_1395","overall_transition_score":8.78,"to_segment_id":"_PahacBRxhE_199_446","pedagogical_progression_score":8.6,"vocabulary_consistency_score":9.0,"knowledge_building_score":9.0,"transition_explanation":"Builds directly on MCP configuration by adding the most important production control: tool allowlisting and constrained capability exposure."},"before_you_start_audio_url":"https://course-builder-course-assets.s3.us-east-1.amazonaws.com/audio/courses/course_1769876579/segments/_PahacBRxhE_199_446/before-you-start.mp3","segment_id":"_PahacBRxhE_199_446","micro_concept_id":"mcp_server_minimal_integration"},{"duration_seconds":212.8494871794872,"concepts_taught":["Designing a repeatable application testing workflow for Claude Code","Managing long-running tasks under tool/runtime constraints (Chrome extension limits)","Task decomposition: split end-to-end tests into multiple focused test files","Test case structure: priority, preconditions, steps, expected results","Evidence retention under context limits: generate persistent test reports/progress files","Pre-task context management: run compact before tool-heavy work","Guided testing via a standardized custom slash command"],"quality_score":7.985,"before_you_start":"You now have skills, hooks, and one MCP integration. The last step is preventing regressions. This segment shows how to design repeatable test runs, break verification into bounded tasks, and generate durable reports so your setup stays reliable over time.","title":"Golden Tasks and Durable Verification Evidence","before_you_start_avatar_video_url":"","url":"https://www.youtube.com/watch?v=NuKrtiJqW3Y&t=243s","sequence_number":15.0,"prerequisites":["Understanding of basic software testing concepts (test cases, expected results)","Familiarity with Claude Code context limits/compaction conceptually","Comfort organizing repo documentation (readmes, test guides, report files)"],"learning_outcomes":["Convert brittle end-to-end browser testing into a resilient suite of smaller, well-specified test files with clear preconditions and expected results.","Apply an evidence-first strategy by producing persistent test reports/progress documents that survive context compaction and interruptions.","Operationalize a “plan→act→verify”-style loop for testing by standardizing a guided testing entrypoint (custom slash command) and requiring preflight context checks.","Use browser tooling outputs (including console logs) as verification evidence and integrate them into a repeatable documentation structure."],"video_duration_seconds":468.0,"transition_from_previous":{"suggested_bridging_content":"","from_segment_id":"_PahacBRxhE_199_446","overall_transition_score":8.92,"to_segment_id":"NuKrtiJqW3Y_243_455","pedagogical_progression_score":8.8,"vocabulary_consistency_score":8.8,"knowledge_building_score":9.1,"transition_explanation":"Transitions from extending capability (MCP) to proving stability over time via repeatable, evidence-producing golden tasks."},"before_you_start_audio_url":"https://course-builder-course-assets.s3.us-east-1.amazonaws.com/audio/courses/course_1769876579/segments/NuKrtiJqW3Y_243_455/before-you-start.mp3","segment_id":"NuKrtiJqW3Y_243_455","micro_concept_id":"golden_tasks_validation_checklist"}],"selection_strategy":"Build a production workflow spine that repeats across the course: (1) plan→act→verify and context discipline, (2) CLI/IDE execution loop with evidence, (3) hard safety boundaries, then (4) packaging repeatable behaviors (SKILL.md), (5) enforcing them (hooks), (6) extending safely (MCP), and (7) validating changes with golden tasks. Prefer highest-quality segments, keep redundancy near-zero, and stay under ~60 minutes by selecting one segment per “must-learn” subtopic unless a second segment adds a clearly different production angle.","strengths":["High signal-to-time ratio under 60 minutes, covering every must-learn micro-concept.","Strong emphasis on deterministic safety and evidence-first verification, not just prompting tips.","Clear progression from habits → enforceable controls → extensibility → regression validation."],"target_difficulty":"advanced","title":"Claude Code Production Workflows, Safely","tradeoffs":[],"updated_at":"2026-03-05T08:39:31.103727+00:00","user_id":"google_109800265000582445084"}}