AI Crap(drewdevault.com)

168 points by Jiejeing 3 years ago | 124 comments

Register deprivation: spills and runtime under forced register scarcity(rjp.io)

23 points by surprisetalk 2 months ago | 4 comments

AI bot crabby-rathbun is still polluting open source(nickolinger.com)

34 points by olingern 8 months ago | 18 comments

Rust Glancer(matklad.github.io)

28 points by surprisetalk 2 months ago | 6 comments

Moving Git commits between repos(jeremymikkola.com)

22 points by piinbinary 2 years ago | 7 comments

Fuzzing the Gleam Compiler(kurz.net)

57 points by crowdhailer 2 months ago | 7 comments

Devs say AI crawlers dominate traffic, forcing blocks on entire countries(arstechnica.com)

329 points by LinuxBender 1 year ago | 232 comments

Ars Technica article reporting that open source developers face overwhelming AI crawler traffic, leading some to block entire countries to keep FOSS sites online.

Amazon's AI crawler is making my Git server unstable(xeiaso.net)

532 points by OptionOfT 1 year ago | 207 comments

Xe Iaso's blog note describing how Amazon's AI crawler is overloading their self-hosted git server and an nginx ingress snippet used to block it.

A messy experiment that changed how I think about AI code analysis(nmn.gl)

417 points by namanyayg 1 year ago | 215 comments

A blog post describing an experiment in getting AI to analyze codebases the way a senior developer reads code, prompted by failures on a React codebase.

How we hacked McKinsey's AI platform(codewall.ai)

420 points by mycroft_4221 7 months ago | 168 comments

CodeWall blog post describing how its autonomous offensive agent found vulnerabilities in McKinsey's internal AI platform Lilli.

AI Companies Are Parasites(coryd.dev)

37 points by cdrnsf 20 days ago | 13 comments

A personal blog opinion post on coryd.dev arguing AI companies are parasites that scrape content without compensation, train models on it, and sell metered access.

Getting AI to work in complex codebases(github.com)

442 points by dhorthy 1 year ago | 368 comments

A GitHub markdown document from HumanLayer describing advanced context engineering techniques for getting AI coding agents to work in complex codebases.