npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2026 – Pkg Stats / Ryan Hefner

@korext/regression-submit

v1.0.2

Published

CLI for drafting, submitting, and detecting AI coding regression patterns from the public registry at oss.korext.com/regressions.

Vulnerabilities

Powered byPowered by Snyk
  • 0High
  • 0Medium
  • 0Low

Links

Git

Maintainers

tbrunohtbrunoh

Keywords

airegressionpatternsbenchmarkfailurescode-qualitycopilotcursorclaude-codetestingresearch

Readme

AI Regression Database

The public corpus of code patterns that AI coding tools consistently generate incorrectly.

License: Code License: Spec License: Data npm

Academic benchmarks measure AI coding tools on curated test sets. AI Incident Database documents production failures. Neither documents the repeatable patterns that AI coding tools reliably produce wrong in normal developer workflows.

AI Regression Database fills that gap. Every pattern includes reproduction steps, correct alternatives, and detection rules.

Browse the Database

oss.korext.com/regressions

Document a Pattern

npx @korext/regression-submit draft

Anonymous submissions welcome.

Scan Your Code

npx @korext/regression-submit detect

This scans your repository for patterns matching all published ARDs.

Identifier Format

ARD-YYYY-NNNN

Example: ARD-2026-0042

What Belongs Here

A pattern is an ARD candidate when:

  • AI coding tools reliably produce incorrect or suboptimal code given recognizable prompt patterns.
  • The pattern is reproducible at least 3 out of 10 attempts.
  • The pattern has a clear correct alternative.
  • The pattern is observed in normal developer workflows, not adversarial prompts.

Six Categories

  • security: introduces security vulnerabilities
  • correctness: output does not match intent
  • performance: poor algorithmic or systems performance
  • hallucination: nonexistent APIs, libraries, or documentation
  • compliance: violates regulatory or industry standards
  • maintainability: difficult to maintain

Unique Features

This database differs from academic benchmarks in critical ways:

  • Practitioner observed: patterns from real developer workflows, not curated tests
  • Reproducible: every pattern has reproduction steps
  • Version tracked: patterns are retested against current AI tool versions
  • Detection linked: every pattern maps to detection rules
  • Time series: reproduction rates tracked over time
  • Vendor responses: AI tool vendors can respond to patterns

Test Harness

The database includes an automated test harness that reproduces patterns against current AI tool versions weekly. When vendors ship fixes, patterns are marked fixed automatically with public recognition of the improvement.

Ethical Commitments

  1. No AI tool shaming. This is neutral infrastructure.
  2. Reproducibility over anecdotes. Unrepeatable claims are rejected.
  3. Version awareness. Tools improve. We track improvement.
  4. No adversarial use. Patterns are for defense, not jailbreaking.
  5. Contributor attribution. Contributors get credit for their observations.
  6. Vendor notification. 7 day notification before publication.

See ETHICS.md.

Relationship to Other Projects

| Project | Purpose | |---------|---------| | ai-attestation | Tracks which AI tools wrote code | | ai-license | Declares AI authorship | | supply-chain-attestation | Scans AI across dependencies | | ai-incident-registry | Catalogs AI code failures (incidents) | | ai-code-radar | Live statistics on AI adoption | | ai-regression-database | Catalogs AI code patterns that are wrong (patterns) |

ARD documents patterns. AICI documents incidents. Patterns can cause incidents. Incidents reference patterns.

Feeds

  • RSS: https://oss.korext.com/regressions/feed.xml
  • Atom: https://oss.korext.com/regressions/feed.atom

API

See API documentation.

Specification

See SPEC.md. Released under CC0 1.0.

Data License

All pattern data is released under CC BY 4.0. Attribution to the database and contributor is required.

Prior Art

See PRIOR_ART.md.

Contributing

See CONTRIBUTING.md.

Built by

Korext builds AI code governance tools. AI Regression Database is an open community resource maintained by the Korext team.