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Planning
Shree Chaturvedi edited this page Jun 13, 2026
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Planning is managed through GitLab issues, milestones, merge requests, and sprint reviews. The durable planning model is:
- Keep the project vision and success criteria in the Charter.
- Break product work into small issues tied to workflow phases or technical systems.
- Use merge requests for implementation review and CI evidence.
- Update wiki/product documentation when behavior, setup, APIs, or architecture changes.
- Use benchmarks, evals, screenshots, and reports as project evidence rather than relying only on verbal demo notes.
Primary planning themes:
- end-to-end ML workflow completeness;
- human-in-the-loop LLM orchestration;
- data/document ingestion and search;
- notebook-backed execution;
- model evaluation and deployment;
- developer quality gates and reproducible demos.