uv-tdd
A structured development process for Python projects using TDD, the uv package manager, and automated testing workflows.
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A structured development process for Python projects using TDD, the uv package manager, and automated testing workflows.
Optimize developer experience for multi-component solutions: standardize onboarding, inner-loop, debugging, and cross-platform setup to eliminate friction and tribal knowledge.
Automated runtime observability changelog for Claude Code development sessions, tracking file changes, test results, and git commits.
Generates standardized metadata, including git/jj version info and timestamps, for research docs, handoffs, and implementation plans.
Keep your technical specifications, test suites, and source code perfectly synchronized during AI-assisted development.
Automates finalization validation for project workflows by enforcing git compliance, documentation standards, and deployment readiness.
A structured file-based system for tracking todos, managing technical debt, and coordinating code review workflows directly within your repository.
A systematic workflow to instrument, evaluate, and monitor LLM applications using TruLens, supporting frameworks like LangChain, LangGraph, and LlamaIndex.
Language-agnostic debugging framework: scientific method, stack trace analysis, logging strategies, and advanced techniques like Git bisect and rubber ducking.
Generate professional pull request descriptions using Grey Haven Studio standards, ensuring clear summaries, motivation, technical implementation details, and testing strategies.
Rigorous, non-performative code review reception for AI agents, prioritizing technical verification and YAGNI over passive agreement.
Development CLI for the Multigres project: automate unit tests, integration tests, and environment coordination for Vitess-for-Postgres.