Add complete Python project base template#1
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Sets up the repository as a reusable base for any Python project: - Dockerfile: multi-stage build (dev target for dev containers, prod for deployment) - docker-compose.yml: app, dev, and test services - pyproject.toml: uv project config with ruff, mypy, pytest, bandit, pip-audit - .devcontainer/: VS Code dev container using the dev Dockerfile target - .vscode/: settings, recommended extensions, and debug launch configs - .github/workflows/: CI (lint, test, security scan, Docker build) + CodeQL - src/app/: minimal application entry point - tests/: pytest example with coverage - CLAUDE.md: AI context for Claude Code - .claude/commands/: /test, /lint, /security, /build slash commands https://claude.ai/code/session_01TiXyp1vCmxNP2ewP4s1TGH
Commits the generated lock file so CI and Docker builds resolve identical dependency versions across all environments. https://claude.ai/code/session_01TiXyp1vCmxNP2ewP4s1TGH
Correctness: - pytest: add pythonpath = ["src"] so bare pytest works without uv sync - pyproject.toml: remove dead `targets` key from [tool.bandit] (silently ignored) Developer experience: - pytest addopts: remove coverage flags; pass --cov=src explicitly in CI only - VS Code: set python.analysis.typeCheckingMode to "off" (defer to mypy strict) - pyproject.toml: remove warn_return_any/warn_unused_configs (already in strict) CI: - ci.yml: add enable-cache: true to all setup-uv steps - ci.yml: drop bandit from CI; CodeQL covers SAST with better data-flow analysis - ci.yml: add scope=dev/prod to Docker GHA cache steps to prevent collision - ci.yml: add --cov=src to test job run step Docker / devcontainer: - Dockerfile dev stage: add non-root devuser (uid 1000), remove redundant build-time uv sync (the venv volume always shadows it anyway) - devcontainer.json: change remoteUser from root to devuser - docker-compose.yml: remove confusing `dev` service (was just a pytest runner with a misleading name); single `test` service covers that use case https://claude.ai/code/session_01TiXyp1vCmxNP2ewP4s1TGH
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Sets up the repository as a reusable base for any Python project:
https://claude.ai/code/session_01TiXyp1vCmxNP2ewP4s1TGH