Mastery curriculum#1399
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- Implement Lab 3: Feedback Loops for agent improvement based on human corrections. - Implement Lab 4: Multi-Agent Conflict Resolution for human arbitration between agents. - Create README.md to outline the Human-in-the-Loop framework and its labs. - Develop Gradio UI in app.py for real-time agent step approval and feedback. - Introduce hitl.py for core HITL abstractions: ApprovalGate, HITLAgent, and FeedbackStore. - Update ADVANCED_TRACK.md to include details on the Human-in-the-Loop week.
Turn the course from a pile of labs into a sequenced curriculum that takes a
software engineer to interview-ready AI agent engineer.
Merge (single canonical home for production topics):
- Fold standalone Weeks 11-12 into Week 7 as Lab 9 (consistency / cost-quality
Pareto / fairness) and Lab 10 (budget middleware / circuit breaker / cloud IaC).
- Relocate unique code to 7_advanced/: advanced_evals.py, enterprise_middleware.py,
circuit_breaker.py, deploy/{aws,gcp,azure}; delete the redundant W11/W12 folders.
Pedagogy layer:
- PRIMER.md for every week (1-10): mental model + diagram, "what interviewers
test", tradeoffs, and a hidden-answer self-test. Read before the labs.
- INTERVIEW_BANK.md: conceptual Q&A, system-design prompts, from-memory coding
drills, gotchas, behavioural questions.
- CAPSTONE.md: one integration project ("Scout") + 100-point grading rubric.
- MASTERY_CURRICULUM.md: the spine (weekly mastery loop, sequence, pacing,
checkpoints). ADVANCED_TRACK.md redirects here; root README banners it.
Review fixes applied:
- Document the (prompt, **kwargs) contract for stacked middleware layers.
- Note that BudgetMiddleware charges a pre-call estimate, not actual usage.
- Add house-style cost banners to Labs 9 and 10.
Owner
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Erm.. a PR for 13,000 lines of code across 89 files? |
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