Enriched principles #6 (Cheapest Model per Task), #9 (Checkpoint/Resume), #10 (Diagnose Before Retrying), and #29 (Emergency Stop) with 14 concrete case studies and 24 industry cross-references including GitHub Copilot, Knight Capital, Apache Kafka, Tesla Autopilot, and workspace-internal examples.
39 lines
1.8 KiB
Markdown
39 lines
1.8 KiB
Markdown
# Status Log
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## 2026-04-11 — Case Studies for Key Principles
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### Completed
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- Created `docs/examples/` directory with 4 case study documents
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- **#6 Cheapest Model per Task**: GitHub Copilot tiering, Anthropic model family routing, Colette two-pass pipeline
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- **#9 Checkpoint / Resume**: GitLab 2017 DB loss, Apache Kafka offsets, psyresearch paper ingestion
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- **#10 Diagnose Before Retrying**: Knight Capital $440M loss, AWS S3 2017 outage, microservice retry storms, agent retry loops
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- **#29 Emergency Stop**: Tesla Autopilot disengagement, AWS auto-scaling runaway, OpenAI spending caps, dispatch Not-Aus
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- Each case study includes: real-world scenario, followed vs violated analysis, industry cross-reference table, key insight summary
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- Total: 14 case studies across 4 principles, with 24 industry cross-references
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### What's Next
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- Add case studies for remaining high-impact principles (e.g., #2 Vertical Spike, #14 Parallel by Default, #26 PDCA)
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- Cross-link case studies from README.md principle entries
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- Consider blog post or talk format
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## 2026-03-31 — Project Created
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### Completed
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- Extracted 24 principles from workspace configs, memory files, CLAUDE.md files, and observed patterns
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- Grouped into 7 themes: Architecture, Cost, Execution, Autonomy, Documentation, Capture, Content
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- Each principle grounded in real usage, not theory
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### Sources Mined
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- Global CLAUDE.md (user instructions)
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- Workspace CLAUDE.md (autonomous agent rules)
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- 12 memory files (feedback, projects, user context)
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- Project-specific CLAUDE.md files (claudine, affordance, 3sets)
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- control-center.md, agent-handbook.md
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- Colette virtual publisher plans
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### What's Next
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- Add concrete examples for key principles (docs/examples/)
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- Cross-reference with industry patterns (12-factor app, etc.)
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- Consider blog post or talk format
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- Keep extracting from ongoing sessions
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