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Things that helped me get out of the AI 10x engineer imposter syndrome(colton.dev)
864 points by coltonv | 601 comments
Blog post by Colton Voege arguing AI is not making engineers 10x more productive and offering advice for engineers feeling imposter syndrome over such claims.
AI: Accelerated Incompetence(slater.dev)
232 points by stevekrouse | 219 comments
On AI writing(bolkunov.com)
72 points by dbolkunov | 61 comments
Blog post by Dima Bolkunov arguing that AI-generated writing averages out style, making the author harder to see and empathize with.
LLMs reward expertise(seangoedecke.com)
1278 points by MaxMussio | 527 comments
Blog post by Sean Goedecke arguing that the most important skill in prompting LLMs is expertise in the domain being prompted for.
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The new skill in AI is not prompting, it's context engineering(philschmid.de)
832 points by robotswantdata | 467 comments
Blog post by Philipp Schmid arguing that context engineering, supplying LLMs with the right information and tools, matters more than prompting for AI agents.
Artificial intelligence is losing hype(economist.com)
453 points by bx376 | 663 comments
An Economist Free exchange column arguing that artificial intelligence is losing hype and asking whether that signals the technology will eventually succeed.
AI agent bankrupted their operator while trying to scan DN42(lantian.pub)
1348 points by xiaoyu2006 | 488 comments
Blog post recounting how an AI agent trying to join the DN42 hobbyist network to scan it ran up a $6531.30 AWS bill for its operator.
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 agent opens a PR write a blogpost to shames the maintainer who closes it(github.com)
747 points by wrxd | 581 comments
A closed GitHub pull request to matplotlib by user crabby-rathbun proposing to replace np.column_stack with np.vstack().T for performance.
The Eternal Sloptember(geohot.github.io)
347 points by razin | 280 comments
A blog post by George Hotz arguing that adopting AI coding agents in software development is a costly mistake because their output is subtly broken.