Agent Friendly Code

ml-explore/mlx

GitHub
https://github.com/ml-explore/mlx

MLX: An array framework for Apple silicon

  • mlx
Stars:
29.1k
Language:
C++
Default branch:
main
Last scored:
Overall

At a glance

Rank
#138 of 401
Top 34% · #3 of 21 C++ repos
Checks passed
9 of 17
Full list below
Best set up for
Claude Code
Score 78.9
Needs most work for
Cursor
Biggest fix: Cursor rules (.cursor/rules) (+11.5 pts)

What it has

What it's missing

What to fix first

Pick an AI agent

Showing fixes for Claude Code

  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
    Type configuration
    Add a type config (tsconfig.json for JS/TS, mypy.ini or pyrightconfig.json for Python). Rust/Go/JVM/Scala/Swift/C#/OCaml/Haskell/Zig are typed by default.
    +7.9 pts
  3. 3
    Manageable size
    If possible, split into smaller modules or carve out a focused entry path. Document where to start in AGENTS.md.
    +1.3 pts

Score for each AI agent

Each agent weighs the checks by its own docs. Under each score are its top three. How each agent is scored →

Claude Code
#137 of 401
78.9
  • ✓AGENTS.md / CLAUDE.md
  • ✓Test suite
  • ✗Reproducible dev env
Pi
#120 of 401
77.3
  • ✓AGENTS.md / CLAUDE.md
  • ✓Test suite
  • ✓Linter / formatter config
Kimi Code CLI
#134 of 401
76.3
  • ✓AGENTS.md / CLAUDE.md
  • ✓Test suite
  • ✓Dependency manifest
Codex
#141 of 401
75.9
  • ✓AGENTS.md / CLAUDE.md
  • ✓README
  • ✓Test suite
Devin
#156 of 401
72.4
  • ✗Reproducible dev env
  • ✓Dependency manifest
  • ✓Test suite
Aider
#131 of 401
70.7
  • ✗.aider.conf.yml
  • ✓Linter / formatter config
  • ✓Test suite
OpenHands
#137 of 401
69.6
  • ✓CI configuration
  • ✓Dependency manifest
  • ✗Reproducible dev env
Gemini CLI
#174 of 401
66.3
  • ✗GEMINI.md
  • ✓README
  • ✓Test suite
Cursor
#177 of 401
65.7
  • ✗Cursor rules (.cursor/rules)
  • ✓README
  • ✗Type configuration

Does ml-explore/mlx have agent instructions?

An AGENTS.md (or CLAUDE.md) at the root tells AI coding agents how to build, test and work in the repo. A few agents also read a file of their own.

AGENTS.md / CLAUDE.md
AGENTS.md (new tab) · 1,594 characters
Agent-specific files
None: no GEMINI.md, .cursor/rules, .openhands/setup.sh, .aider.conf.yml or .agents/skills
Repos that have one
10 of 21 C++ repos · 221 of 401 repos on the leaderboard · See examples →

All 17 checks · 9 passed

Skills (.agents/skills)· 0% pass
No .agents/skills/<name>/SKILL.md
AGENTS.md / CLAUDE.md· 100% pass
Substantive (1,594 characters)
AGENTS.md
.aider.conf.yml· 0% pass
No .aider.conf.yml at repo root
CI configuration· 100% pass
4 GitHub Actions workflows
.github/workflows
CONTRIBUTING guide· 100% pass
Guide present
CONTRIBUTING.md
Cursor rules (.cursor/rules)· 0% pass
No .cursor/rules/*.mdc or .cursorrules
Dependency manifest· 100% pass
Manifest present
pyproject.toml
Reproducible dev env· 0% pass
No Makefile / devcontainer / Docker / equivalent found
GEMINI.md· 0% pass
No GEMINI.md at repo root
License file· 100% pass
License present
LICENSE
Linter / formatter config· 100% pass
Config detected
.clang-format
.openhands/setup.sh· 0% pass
No .openhands/setup.sh
Pre-commit / git hooks· 100% pass
Hook framework configured
.pre-commit-config.yaml
README· 100% pass
README detailed (4,596 characters)
README.md
Manageable size· 80% pass
938 files
Test suite· 100% pass
Found /tests
tests
Type configuration· 0% pass
No type config found

How ml-explore/mlx compares

vs leaderboard average
5.8 pts above
Average 66.8
vs C++ average
13.3 pts above
Average 59.3
Stars among C++ repos
#11 of 21

Missing here, and how many repos have it

  • Type configuration · passed by 68% of leaderboard repos, 24% of C++ repos
  • Reproducible dev env · passed by 22% of leaderboard repos, 10% of C++ repos
  • Skills (.agents/skills) · passed by 17% of leaderboard repos, 5% of C++ repos

Passes checks most repos miss

  • Pre-commit / git hooks · only 29% of repos pass it

One fix for the most agents: Reproducible dev env would raise the score for all 9 agents, by up to 11.9 points.

Similar repos

Same language and host as this repo, closest in overall score.

All C++ repos →

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Agent friendly score for github/ml-explore/mlx
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