stevesolun / ctx
CTX Fit finds the cheapest AI coding setup that reliably works on your repository, then applies the winner as a reviewable change.
Why this job: says: ai coding; topics: harness, claude-code
What it does
CTX Fit analyzes your repository, tests promising AI coding configurations against real tasks in it, and produces the winning configuration as a reviewable change — in your working tree with --apply, or as a pull request with --pr. It picks the *cheapest* setup that *reliably* works — reliability is a requirement, not a tie-break — and if nothing beats what you already have, it says so.
Get started
pip install claude-ctx- Maintenance
- Active
- Last commit 2 months ago
- Stars
- 590
- +1 this week
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v1.0.21
- Released 2 months ago
- Built with
- Python
- 92% of the code
Is it looked after?
- Contributors
- 1
- Last 90 days
- Issues
- 44% closed
- 5 still open
- Pull requests
- 259 merged
- 4 waiting
- Releases
- 38
- 30+ in the last year
- Contributing guide (opens in new tab)
- Security policy (opens in new tab)
- No code of conduct
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| Repo | Stars | Last commit | Licence | Downloads for |
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| eljulians / skillfile | 181 | 36 days ago | Apache-2.0 | Mac, Windows, Linux |
More: languages, topics and project record
Languages
- Python 92%
- HTML 7%
- CSS <1%
- Shell <1%
Topics
- agents
- ai-agents
- anthropic
- automation
- claude
- claude-code
- context-management
- developer-tools
- harness
- knowledge-graph
- llm
- llm-wiki
Project record
- JobCoding agents
- StatusListed
- Commits1,599
- Forks69
- Watching6
- Stars in 28 days+4
- CreatedApr 8, 2026
- First seen by usNov 7, 2026
- CheckedNov 7, 2026
