Quoting Linus Torvalds
Simon Willison’s Weblog 2 months ago 29
Linus Torvalds described a difficult Linux kernel debug session in which an AI handled much of the basic debugging work and even helped write a commit message.
404 summarised stories about AI Coding Agents, each linking back to the original source. Browse all topics →
Simon Willison’s Weblog 2 months ago 29
Linus Torvalds described a difficult Linux kernel debug session in which an AI handled much of the basic debugging work and even helped write a commit message.
Simon Willison’s Weblog 2 months ago 49 ● 3 sources
Teleport’s sponsored piece argues that using AI coding agents productively depends on how well people can specify changes and verify they were applied correctly. It emphasizes an isolated ephemeral trusted runtime for safer deployment (22nd August 2026). As a result, validation should rely on more than line-by-line code review.
Product Hunt 2 months ago 12
The page “Flare” describes a graph-first IDE with an interactive map aimed at agentic coding. The only concrete detail given is the name “Flare.” No new AI results, benchmarks, or dates are provided, so the impact is not clear from the article text.
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Microsoft Research dropped Agensh, an open-source multi-agent harness that aims to make coding swarms feel less like a science project and more like a workflow. The key idea is decentralized task claiming: instead of a single central orchestrator, agents self-assign sub-tasks, then synchronize by writing progress into a shared Git repository. In ProgramBench tests, Agensh scaled from 1 to 1,024 agents, with a 30-minute pandoc milestone climbing to a 30% passing rate at 128 agents. The mean final test-pass rate improved from 19.31% with one agent to 28.78% at 128, and pandoc reached 79.59% when using GPT-6.1-sol with 32 agents—an unusually specific datapoint for what is often framed as “more agents = better.”
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