3 stories on AI in Practice.
Gregory Kurtzer used Codex with GPT-5.6 Sol to build Ginux, a 139,000-line Linux-compatible kernel, in 11 days.
Why it matters: A small team can use coding agents to produce large systems software in days, changing expectations for development speed.
Anthropic's Felix Rieseberg removed coding puzzles from interviews after Claude outperformed most candidates.
Why it matters: If AI outperforms candidates on standard coding tests, hiring teams may need to rethink how they assess engineering skill.
Anthropic published six drug-development case studies, including one where Generate Biomedicines used Claude Code to redesign part of a CAR T-cell therapy.
Why it matters: Life sciences companies get a concrete example of coding agents being used in therapy design, though the results are early lab findings.