Rodrigo Rodriguez (Pragmatismo)
4cf71b2c6e
Added diesel_migrations crate (v2.3.0) to enable database migration functionality. Updated Cargo.toml and Cargo.lock to include the new dependency along with its required sub-dependencies (migrations_internals and migrations_macros). Also made minor cleanups in the codebase: - Removed unused UI code from platform README - Cleaned up LLM server initialization code - Added additional build dependencies in documentation
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1.5 KiB
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22 lines
No EOL
1.5 KiB
Markdown
## LLM Strategy & Workflow
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### Fallback Strategy (After 3 attempts / 10 minutes):
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When initial attempts fail, sequentially try these LLMs:
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1. **DeepSeek-V3-0324** (good architect, adventure, reliable, let little errors just to be fixed by gpt-*)
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1. **gpt-5-chat** (slower, let warnings...)
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1. **gpt-oss-120b**
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1. **Claude (Web)**: Copy only the problem statement and create unit tests. Create/extend UI.
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### Development Workflow:
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- **One requirement at a time** with sequential commits
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- **On unresolved error**: Stop and use add-req.sh, and consult Claude for guidance. with DeepThining in DeepSeek also, with Web turned on.
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- **Change progression**: Start with DeepSeek, conclude with gpt-oss-120b
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- If a big req. fail, specify a @code file that has similar pattern or sample from official docs.
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- **Warning removal**: Last task before commiting, create a task list of warning removal and work with cargo check.
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- **Final validation**: Use prompt "cargo check" with gpt-oss-120b
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- Be humble, one requirement, one commit. But sometimes, freedom of caos is welcome - when no deadlines are set.
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- Fix manually in case of dangerous trouble.
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- Keep in the source codebase only deployed and tested source, no lab source code in main project. At least, use optional features to introduce new behaviour gradually in PRODUCTION.
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- Transform good articles into prompts for the coder.
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- Switch to libraries that have LLM affinity.
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- Ensure 'continue' on LLMs, they can EOF and say are done, but got more to output. |