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pydantic/pydanticGitHub

https://github.com/pydantic/pydantic
Stars:
27.6k
Default branch:
main
Last scored:
5h ago
Overall

Strengths

  • CI configuration
  • CONTRIBUTING guide
  • Dependency manifest
  • Reproducible dev env
  • License file

Gaps

  • AGENTS.md / CLAUDE.md

Suggestions to improve for a specific model

  1. 1
    AGENTS.md / CLAUDE.md
    Add an AGENTS.md covering project goals, layout, setup commands, and conventions. Aim for 800+ chars of real guidance (not boilerplate).
    +9.6 pts
  2. 2
    Manageable size
    If possible, split into smaller modules or carve out a focused entry path. Document where to start in AGENTS.md.
    +1.4 pts

Per-model scores

Claude Code
Weights AGENTS.md and tests heavily — Claude Code leans on an instructions file and a fast feedback loop.
85.5
Cursor
Weights type config and a detailed README highly — Cursor's inline edits benefit from static types and skim-readable docs.
90.4
Devin
Weights CI and reproducible envs highly — Devin runs in a sandboxed VM and needs end-to-end automation.
91.0
GPT-5 Codex
Balanced profile as a reference point.
89.0

Signal breakdown

AGENTS.md / CLAUDE.md· 0% pass
No agent instructions file found
CI configuration· 100% pass
9 GitHub Actions workflow(s)
.github/workflows
CONTRIBUTING guide· 100% pass
Guide present
docs/CONTRIBUTING.md
Dependency manifest· 100% pass
Manifest present
pyproject.toml
Reproducible dev env· 100% pass
2 env artifacts (Makefile, makefile)
Makefile
License file· 100% pass
License present
LICENSE
Linter / formatter config· 100% pass
Configured in pyproject.toml
pyproject.toml
Pre-commit / git hooks· 100% pass
Hook framework configured
.pre-commit-config.yaml
README· 100% pass
README detailed (3296 chars)
README.md
Manageable size· 80% pass
850 files
Test suite· 100% pass
Found /tests
tests
Type configuration· 100% pass
Configured in pyproject.toml
pyproject.toml