131 summarised stories about AI Code Generation, each linking back to the original source. Browse all topics →
Simon Willison’s Weblog 3 weeks ago 7
Teleport sponsored a post featuring a TikTok quote arguing that writing scripts with AI often sounds empty or unopinionated. The post points to 13 engineers who “pressure washed” a codebase with LLMs over 90 days, emphasizing quality over quantity for finding security vulnerabilities. This shifts attention from obvious AI writing tells to how style and substance (or the lack of them) affect perceived authorship and confidence.
The daily briefing
TLDRocket reads all relevant sources, removes duplicate coverage, and summarises the day in two minutes. Follow companies and topics for alerts, or get the briefing in Slack. Free, no spam, unsubscribe anytime.
TLDRocket
15 October 2026
OpenAI’s DevDay set the tone for how AI products are tightening around cost, computation, and agents—while legal pressure keeps reminding everyone that capability doesn’t ship in a vacuum. The headline was GPT-6.1 Sol and its Dots autonomous agent, positioned for higher tool-call volume and longer internal runs. Pricing is blunt: $2 per million input tokens and $10 per million output tokens, pitched as roughly one-fifth the per-task cost of GPT-6 Astra. The catch is availability and scope—Dots is rolling out only to specific ChatGPT plans, while the overall direction is clear: more work moved from chat into orchestration, where agents do the scheduling, retrieval, and stepwise execution.
Read the full briefing →