greynewell

greynewell / evaldriven.org

Public

Ship evals before you ship features.

evaldriven.org ai-engineering ai-evaluation ai-quality ai-safety ai-testing
16
5
100% credibility
Found Feb 17, 2026 at 10 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
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AI Summary

A manifesto website promoting 'Eval-Driven Development' principles for AI engineering, where supporters publicly endorse it by starring the GitHub repository to appear as signatories.

How It Works

1
🌐 Discover the manifesto

You stumble upon evaldriven.org while reading about smarter ways to build AI projects.

2
📖 Read the principles

You scroll through the 10 clear ideas explaining why checks and proofs make AI reliable before sharing it.

3
💡 Get inspired to join

The message about proving AI works every time excites you and makes you want to support this approach.

4
⭐ Sign by starring

You visit the linked page and click the star button to add your name as a supporter.

5
👥 See the signatories list

Back on the site, you refresh and spot your name among hundreds of others who agree.

🎉 Feel part of the movement

Now you're officially backing better AI practices, and the growing list shows real momentum.

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Star Growth

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AI-Generated Review

What is evaldriven.org?

Evaldriven.org is a Python-built static site generator that turns a manifesto on Eval-Driven Development into a polished, SEO-optimized webpage at evaldriven.org. It pulls GitHub stargazers as "signatories" to show support, adds dynamic FAQs, OG images tracking signatory counts, and generates sitemaps/robots.txt for easy deployment. Developers get a ready-to-host site promoting the idea of shipping evals before features in AI projects—ensuring probabilistic systems like LLMs have automated, statistical proof of correctness in CI.

Why is it gaining traction?

In a world of github ship fast and github ship free mantras, this stands out by flipping the script: ship evals first via github ship detection thresholds and baselines, not demos. The hook is dead simple—star the repo to "sign" the manifesto, instantly updating the live site with your name alongside others, like a github ship it squirrel for AI quality. No alternatives match this viral, metric-driven endorsement for eval-driven workflows over github ship to learn pitfalls.

Who should use this?

AI engineers at startups shipping LLM pipelines, where regressions kill trust; ML teams needing evals in CI before features; or indie devs forking to rally around principles like cost-as-metric or versioned datasets. Ideal for anyone tired of "works on my machine" in save our ship github scenarios.

Verdict

Star it if evaldriven.org resonates—10 stars signal early days, but the manifesto docs are crisp and principles battle-tested for Python AI stacks. At 1.0% credibility, treat as inspiration to build your own evals, not production code. (187 words)

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