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vllm-project/vllmGitHub

https://github.com/vllm-project/vllm
Stars:
77.8k
Default branch:
main
Last scored:
3h ago
Overall

Strengths

  • AGENTS.md / CLAUDE.md
  • CI configuration
  • CONTRIBUTING guide
  • Dependency manifest
  • License file

Gaps

  • Reproducible dev env

Suggestions to improve for a specific model

  1. 1
    Reproducible dev env
    Add a Makefile or devcontainer or Dockerfile so the agent can set up the project in one command.
    +11.8 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.
    +3.3 pts

Per-model scores

Claude Code
Weights AGENTS.md and tests heavily — Claude Code leans on an instructions file and a fast feedback loop.
84.9
Cursor
Weights type config and a detailed README highly — Cursor's inline edits benefit from static types and skim-readable docs.
90.1
Devin
Weights CI and reproducible envs highly — Devin runs in a sandboxed VM and needs end-to-end automation.
83.8
GPT-5 Codex
Balanced profile as a reference point.
87.0

Signal breakdown

AGENTS.md / CLAUDE.md· 100% pass
Substantive (3876 chars)
AGENTS.md
CI configuration· 100% pass
6 GitHub Actions workflow(s)
.github/workflows
CONTRIBUTING guide· 100% pass
Guide present
CONTRIBUTING.md
Dependency manifest· 100% pass
Manifest present
pyproject.toml
Reproducible dev env· 0% pass
No Makefile / devcontainer / Docker / equivalent found
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 (5692 chars)
README.md
Manageable size· 50% pass
4459 files — large
Test suite· 100% pass
Found /tests
tests
Type configuration· 100% pass
Configured in pyproject.toml
pyproject.toml