by gergely-orosz
Programming language choice matters more in the AI era, not less — AI code generation quality varies dramatically by target language, and the runtime tradeoffs a language imposes don't disappear just because a machine writes the code.
by sarah-perez
Spotify's best engineers stopped writing code entirely — their internal 'Honk' system built on Claude Code lets them ship features from Slack on their phones, signaling that AI coding has crossed from experiment to default workflow at scale.
by steve-yegge, gene-kim
IDEs and single-agent tools like Claude Code are transitional—the future belongs to swarms of specialized agents, CNC-style automation, and leaders who code their own solutions.
by geoffrey-huntley
Coding agents are just 300 lines of code running in a loop—demystifying AI tooling reveals that the model does the heavy lifting, and understanding these primitives transforms you from AI consumer to AI producer.
by simon-willison
Effective LLM-assisted programming demands deliberate skills—context management, authoritarian specifications, and rigorous testing—that amplify expertise rather than replace it.