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docs: add paper citations, fix pedagogical issues, improve SKILL.md

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- Cite arxiv 2602.23922 (Invariant-Driven Automated Testing) in all major docs
- Add Progressive Complexity section to SKILL.md for LLM guidance
- Fix SKILL.md Fast Start example to use deterministic ID generation
- Fix getting-started.md failure output inconsistency
- Fix auth-patterns.md TypeScript syntax in JS doc
- Fix fastify-structure.md Date.now() in test helper
- Fix observe.md misleading workspace heading
- Build: clean | Tests: 849 pass, 0 fail
This commit is contained in:
John Dvorak
2026-04-30 11:34:00 -07:00
parent 6c39bd0a6c
commit 8d7382417d
11 changed files with 53 additions and 6 deletions
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docs/llm-safe-adoption.md
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APOPHIS is designed to be safe and predictable for LLM-generated Fastify services.
It applies the invariant-driven approach from [Invariant-Driven Automated Testing](https://arxiv.org/abs/2602.23922) (Malhado Ribeiro, 2021) to LLM-assisted development: constrained vocabulary, deterministic replay, and executable contracts give coding agents a verifiable loop between generated changes and behavioral correctness.
## Why APOPHIS Is Good for LLM-Generated Services
Coding agents benefit from: