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aiwg

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Cognitive architecture for AI-augmented software development with structured memory, ensemble validation, and closed-loop correction. FAIR-aligned artifacts, 84% cost reduction via human-in-the-loop, standards adopted by 100+ organizations.

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# Usage Notes AIWG is optimized for token efficiency through modular context loading and path-scoped rules. ## Account Compatibility | Account Type | Suitability | |--------------|-------------| | **Claude Pro / Team** | ✅ Recommended | | **API Pay-as-you-go** | ✅ Works well with cost monitoring | | **Free tiers** | ⚠️ May hit rate limits on heavy workflows | ## Tips for Optimal Usage 1. **Start small** — Run individual workflows before full SDLC phases 2. **Use `--interactive`** — Control generation scope when needed 3. **Monitor usage** — Check your AI provider's dashboard for cost tracking 4. **Set budget alerts** — If your provider supports them ## Token Optimization AIWG minimizes token usage through: - **Path-scoped rules** — Only load context relevant to current file - **Modular frameworks** — Install only what you need - **Template reuse** — Consistent artifact structure reduces regeneration ## Rate Limits If you hit rate limits: 1. Wait a few minutes before retrying 2. Use `--interactive` mode for smaller batches 3. Consider upgrading your account tier 4. Split large workflows into smaller steps ## Cost Management **You are responsible for API costs.** The framework does not: - Track or limit spending - Provide cost alerts - Guarantee cost estimates - Refund unexpected charges **Recommendations:** - Start with simple workflows to gauge usage - Monitor your provider's dashboard regularly - Set budget alerts if available - Use `--dry-run` flags when available to preview actions ## Technical Notes - **Rate Limits:** Agentic tools handle rate limits and retries automatically - **Version Control:** Document rollback is optional and user-controlled - Enable by committing `.aiwg/` artifacts to git - Or add `.aiwg/` to `.gitignore` for local-only use