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How GLM built its own inference infrastructure(z.ai)
373 points by whiteros_e | 261 comments
Z.ai research blog post describing how its GLM model was used to build its own inference infrastructure, framed as a step toward recursive self-improvement.
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What AI-Native Looks Like(fagnerbrack.com)
14 points by fagnerbrack | 7 comments
A blog post by Fagner Brack on Medium describing what an AI-native approach to software development with stable infrastructure looks like.
AI coding has made CI a bottleneck, so we reworked ours to keep up(linear.app)
300 points by julian_digital | 367 comments
A Linear engineering blog post explaining how AI-assisted coding increased CI load and how the team reworked its CI pipeline to keep up.
Web development is fun again(ma.ttias.be)
444 points by Mojah | 544 comments
Mattias Geniar's blog post reflecting on how web development felt simpler in the PHP 4 and jQuery era and arguing it has become fun again.
Implement DNS in a Weekend(implement-dns.wizardzines.com)
594 points by asicsp | 68 comments
Julia Evans's blog post announcing a free guide to implementing a DNS resolver from scratch in about 200 lines of Python.
Your job is to deliver code you have proven to work(simonwillison.net)
777 points by simonw | 599 comments
Simon Willison blog post arguing developers must prove their code works through manual and automated testing before submitting it, especially when using LLM tools.
Using AI to reverse engineer hardware(blogs.gnome.org)
224 points by ErenayDev | 198 comments
Blog post by Christian F.K. Schaller, a Red Hat developer, about using AI tools to reverse engineer hardware, presumably for Linux driver development.











