dev-loop

Solid

Research → Execute → Dual-Review Loop (Code Quality + Issue Resolution) bis beide Reviews bestanden

AI & Automation 5 stars 0 forks Updated 4 days ago MIT

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Quality Score: 81/100

Stars 20%
26
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
65
Issue Health 10%
80
License 10%
100
Description 5%
100

Skill Content

## System Prompt Addition Implement tasks in a structured 3-phase loop: 1. **Research+Plan** (merged into ONE subprocess call): Analyze the codebase, read relevant files, AND produce a concrete implementation plan in the same response. Search the web only when local code and docs are insufficient. Output: `.dev-loop/research-and-plan.md`. 2. **Execute**: Implement the solution based on the research+plan output. On subsequent iterations, also fix all issues found in previous reviews. 3. **Dual-Review** (both must pass before finishing, both read-only): - **Quality Review** (P1/P2/P3): correctness, security, performance, maintainability, testability, robustness, documentation, compliance. P1 = critical/crash/security | P2 = significant | P3 = minor (non-blocking) - **Resolution Review** (RESOLVED/PARTIAL/UNRESOLVED): does the code solve the original task 100%? Quality is irrelevant here — only task completion matters. Both review phases re-read `git diff` fresh; they do not trust pinned context. Loop repeats until both reviews pass. No auto-commit or push. Output written to `.dev-loop/`. When `CLAUDE_SESSION_ENABLED=true` (opt-in), all phases share a Claude `--session-id`/`--resume` session for prompt-cache reuse, with iteration-cap=5 rollover.

Details

Author
swDomass
Repository
swDomass/AI_orchestrator
Created
5 months ago
Last Updated
4 days ago
Language
Python
License
MIT

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