// devtools ยท stevesolun/ctx

ctx

Hunt down the lowest-cost AI coding setup your repo can rely on.

๐Ÿ’Ž Hidden gemโ˜… 588 starsโ‘‚ 69 forksMITupdated 2026-10
โ–ฆ visual โ€” this project's README ships no embeddable screenshot,
so here's a placeholder. The guide below is complete regardless.
// project facts

Project facts

ctx is an open-source dev tools project by stevesolun (stevesolun/ctx on GitHub). It has 588 GitHub stars and 69 forks, is released under the MIT license, and was last updated on GitHub on 4 October 2026.

Repository
stevesolun/ctx
GitHub stars
588
Forks
69
License
MIT
Last updated on GitHub
4 October 2026
Category
Dev Tools
Listing
Hidden gem โ€” a shorter page for a lesser-known project
Official site
Official site
// how it works

How it works

  1. Point CTX at your repo

    Give it access to the repository to optimize.

  2. Run the fit process

    It tests AI coding setups against your code.

  3. Review the winner

    See the cheapest reliable configuration as a diff.

  4. Apply the change

    Merge the recommended setup into your project.

// features

Why people love it

Cost fitting

Finds the cheapest setup that actually works.

Repo-specific

Benchmarks against your real codebase.

Reviewable output

The winner arrives as a diff you approve.

Reliability check

Cheap means nothing if it breaks โ€” it verifies.

Spend control

Stops overpaying for unused model power.

Repeatable

Re-fit as your repo or pricing changes.

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// run it

Run it yourself

  1. Step 1 โ€” Clone the repo

    Download the source and move into the project folder.

    git clone https://github.com/stevesolun/ctx.git
    cd ctx
  2. Step 2 โ€” Check the README

    Every project documents its own setup; start with install requirements.

    cat README.md | head -60
  3. Step 3 โ€” Run it

    Follow the project's launch command โ€” Docker, pip, npm, or a binary release.

    # see README for the exact launch command
// use cases

What you can build

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// faq

Questions, answered

Is ctx free for commercial use?

MIT licensed โ€” commercial use allowed with attribution.

How does it measure reliability?

It tests setups against your repo โ€” check the README for the methodology.

Will it break my workflow?

The winner applies as a reviewable change โ€” you approve before anything changes.

Does it work with any model?

Check the repo for the supported providers and configurations.

How much can it save?

That depends on your current spend โ€” the fit process shows the measured difference.

// keep exploring

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// alternatives

Alternatives in Dev Tools

The most-starred other Dev Tools projects in the LibreAI catalogue โ€” the realistic shortlist if ctx is not the right fit.

Get ctx

Free and open โ€” grab the source, star the repo, and start creating.