Textualize/textual

At a glance

Rank

#112 of 401

Top 28% · #25 of 56 Python repos

Checks passed

9 of 17

Full list below

Best set up for

Claude Code

Score 80.0

Needs most work for

Cursor

Biggest fix: Cursor rules (.cursor/rules) (+11.5 pts)

What to fix first

Showing fixes for Claude Code

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).
   +13.2 pts
2. 2
   Reproducible dev env

   Add a Makefile or devcontainer or Dockerfile so the agent can set up the project in one command.
   +3.6 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.
   +3.3 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 →

Does Textualize/textual 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

✗None at the root (no AGENTS.md, CLAUDE.md, AGENT.md, .claude/CLAUDE.md or .claude/AGENTS.md)

Agent-specific files

None: no GEMINI.md, .cursor/rules, .openhands/setup.sh, .aider.conf.yml or .agents/skills

Repos that have one

29 of 56 Python repos · 221 of 401 repos on the leaderboard · See examples →

# AGENTS.md

Guidance for AI coding agents working in Textualize/textual. The lean application framework for Python. Written mainly in Python.

## Where things are

- Dependencies are declared in `pyproject.toml`.
- Tests live in `tests`.
- Lint and format rules are configured in `pyproject.toml`.
- Type checking is configured in `mypy.ini`.
- CI is defined in `.github/workflows`; read it for the exact install, lint and test steps.
- Commit hooks are set up in `.pre-commit-config.yaml`; don't skip them.
- Common tasks are targets in `Makefile`.
- Follow the conventions in `CONTRIBUTING.md`.

## Commands

<!-- Fill in the exact commands CI runs. -->
- Install: TODO
- Test: TODO
- Lint: TODO

How Textualize/textual compares

vs leaderboard average

8.8 pts above

Average 66.8

vs Python average

4.6 pts above

Average 71.0

Stars among Python repos

#37 of 56

One fix for the most agents: AGENTS.md / CLAUDE.md would raise the score for all 9 agents, by up to 13.3 points.

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