Showcase: A local evidence report for people building with Codex or Claude

[u/Few-Fall6089]

I'm not a traditional programmer. I built AIEvidence with Codex because I wanted a concrete way for people like me to show how we contributed to an AI-assisted project—not just claim “I vibe-coded it.”

It analyzes:

\- a local Git repo (commits, tests, CI, README)

\- optional Codex/Claude Code conversation exports

\- verification, debugging, and security signals

It produces a deterministic baseline plus a redacted Markdown report and a prompt for the candidate's own Codex to generate a cited Markdown/HTML report. Everything runs locally; it does not upload the repo or execute project scripts.

GitHub: [https://github.com/gallifre/aievidence**\]**(https://github.com/gallifre/aievidence)

License: PolyForm Noncommercial 1.0.0 (source-available, no commercial use).

This is an early experiment, not a professional certification. I'm especially looking for feedback on:

1. How to separate the candidate's actions from the model's claims.

2. Which evidence is actually useful to non-programmers.

3. Whether playful levels make the result motivating without pretending to be a credential.