What do you want to do?
4 use cases
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Find Jev projects that match your coding agent
Filter the list by coding agent tag to shortlist Jev tools for Claude Code or Codex.
View prompt
Using the repo yibie/awesome-jev, list every entry under the Claude Code tag in its README with its name and link. Expected output: a list of 18 entries with GitHub links. Verify that the count matches the 18 shown in the Find by coding agent section.
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Vet a listed Jev project before you adopt it
Run the README's five checks on one project to see if it uses Jev and can be tested.
- Awesome Jev
- Software and DevOps
- Intermediate
View prompt
Using the checklist in the yibie/awesome-jev README under Curation is not endorsement, check <project repo URL> for a Jev API call, a runnable test or demo, a license file, and the share of code versus prose. Expected output: a table with one row per check marked pass, fail, or unclear, each with a file path as evidence. Verify that every pass cites a real file path in the target repository.
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Spot same-day bulk submissions before trusting them
Check commit history and shared scaffold files to see if a bulk-submitted repo is proven.
- Awesome Jev
- Software and DevOps
- Intermediate
View prompt
Using the Curation is not endorsement section of yibie/awesome-jev as the reference, inspect <repo URL> for commit count, commit dates, the presence of AGENTS.md, CLAUDE.md, STATE.md, and CHANGELOG.md, and the ratio of code to prose files. Expected output: a short verdict of proven, unproven, or unclear with the evidence listed. Verify the verdict against the commit history shown on the repository page.
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Submit a missing Jev project to the list
Check a project against the inclusion rules and open a pull request with a one-sentence summary.
- Awesome Jev
- Software and DevOps
- Intermediate
View prompt
Using the inclusion criteria in yibie/awesome-jev, assess <project repo URL> against the four rules and draft a one-sentence summary for it. Expected output: a pass or fail for each rule with a quoted line from the project as evidence, plus a summary under 140 characters. Verify that the summary describes the scenario, method, and value in one sentence.
How to use Awesome Jev
- Check you have what it needs: A web browser or git; A GitHub account if you plan to open an issue or pull request.
- Open yibie/awesome-jev on GitHub and read the README and license.
- Open https://github.com/yibie/awesome-jev and scroll to the section named Find by coding agent.
- Pick the tag for your agent: Claude Code (18 entries) or Codex (6 entries).
- Check the Multi tag (24 entries) for projects that list several agents.
- Open each linked project and read its summary on the matching category page.
These steps come from our top use case, Find Jev projects that match your coding agent, which also has a copy-paste agent prompt.
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About this repo
- Who it is forDevelopers and AI agents who want to find, vet, or submit Jev-based tools and practices.
- Why it is hot
- LanguagePython
- Sourcegithub.com/yibie/awesome-jev · Back to Hot repos
Requirements
- A web browser or git
- A GitHub account if you plan to open an issue or pull request
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Questions about Awesome Jev
What is Awesome Jev?
A curated GitHub list of public projects, integrations, and discussions built on Jev, TypeSafe AI's System One model for typed decisions. It is an open-source project on GitHub: https://github.com/yibie/awesome-jev.
Who is Awesome Jev for?
Developers and AI agents who want to find, vet, or submit Jev-based tools and practices.
What can I do with Awesome Jev?
4 use cases so far, for example: Find Jev projects that match your coding agent; Vet a listed Jev project before you adopt it; Spot same-day bulk submissions before trusting them. Each has steps and a copy-paste agent prompt.
What do I need to run Awesome Jev?
A web browser or git; A GitHub account if you plan to open an issue or pull request.
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.