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What you can do with Awesome Jev

A curated list of open-source projects, demos, SDKs and skills built around Jev, TypeSafe's model for yes/no judgments, choices, and scores.

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Amal-David/awesome-jev on GitHub

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What do you want to do?

4 use cases

  • Lint Jev questions before sending them to production

    Catch missing options and broken state references in Jev questions before they run.

    View prompt
    Use the wellposed repo (https://github.com/suraj-phanindra/wellposed) to lint the question file at <path-to-question-file>. Fix any missing options or broken state references it reports, then return the corrected file and the linter output. Verify that the linter now reports zero findings.

  • Check changed code lines against plain-English rules

    Flag rule violations on the lines a change adds, using rules written in plain English.

    View prompt
    Use the softlint repo (https://github.com/blazejkustra/softlint) to check the diff of <branch-name> against these plain-English rules: <rules>. Return each finding with its file, added line, and the rule it breaks. Verify that every finding points to a line added in the diff.

  • Flag anomalous fields in data files with a Jev-based CLI

    Find unusual values in selected fields of a data file and review them in local previews.

    View prompt
    Use the jevotron repo (https://github.com/cmungall/jevotron) to flag anomalies in the fields <field-names> of the file <path-to-file>. Return the flagged values with their row references and any local preview paths. Verify that every flagged value matches a field you selected.

  • Score log entries to find the ones that need a closer look

    Rank log entries by a Jev score so reviewers read the most suspicious ones first.

    View prompt
    Use the Jev Logs repo (https://github.com/reachjalil/jevlogs) to score the log entries in <path-to-log-file> and return them sorted by score. Verify that the highest-scored entries are listed first.

How to use Awesome Jev

  1. Check you have what it needs: Access to Jev through TypeSafe, which the SDK and integration entries rely on; Git and Python, since most picks in this list are Python or run from a repo; Review of each project's permissions and data handling before running it, as the README asks.
  2. Open Amal-David/awesome-jev on GitHub and read the README and license.
  3. Open the wellposed repository at https://github.com/suraj-phanindra/wellposed and read its README for how to run the linter.
  4. Read the official TypeSafe Skill at https://github.com/typesafe-ai/skills for guidance on writing Noul, Choice, and Score questions.
  5. Run the linter on your question file and note any findings for missing options, broken state references, or wrong question types.
  6. Fix each finding and rerun the linter until it reports no problems.

These steps come from our top use case, Lint Jev questions before sending them to production, which also has a copy-paste agent prompt.

Awesome Jev alternatives · Best AI repos for Software and DevOps

About this repo

Requirements

  • Access to Jev through TypeSafe, which the SDK and integration entries rely on
  • Git and Python, since most picks in this list are Python or run from a repo
  • Review of each project's permissions and data handling before running it, as the README asks
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Questions about Awesome Jev

What is Awesome Jev?

A curated list of open-source projects, demos, SDKs and skills built around Jev, TypeSafe's model for yes/no judgments, choices, and scores. It is an open-source project on GitHub: https://github.com/Amal-David/awesome-jev.

Who is Awesome Jev for?

Developers and AI agents who need a yes/no, choice, or score decision inside a script, workflow, browser task, or code review.

What can I do with Awesome Jev?

4 use cases so far, for example: Lint Jev questions before sending them to production; Check changed code lines against plain-English rules; Flag anomalous fields in data files with a Jev-based CLI. Each has steps and a copy-paste agent prompt.

What do I need to run Awesome Jev?

Access to Jev through TypeSafe, which the SDK and integration entries rely on; Git and Python, since most picks in this list are Python or run from a repo; Review of each project's permissions and data handling before running it, as the README asks.

What are alternatives to Awesome Jev?

Other hot AI repos in Software and DevOps: Harness2, iFixAi, Orca, Diagram Design, AI Memory.

Is Awesome Jev safe to run?

Deduped does not own, audit or vouch for it. Read the README and license, run it on your own systems first and review every command before you run it.