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.
276 summarised stories about Agentic Workflows, 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.
Product Hunt 2 months ago 16
Offloop describes a shared workspace designed to let people and AI agents complete work together. The page provides no specific dates, pricing, or measurable benchmarks. As a result, the details focus on the concept rather than any verifiable performance or rollout information.
Latent Space 2 months ago 46 ● 4 sources
Engineers reported that AI agents started working noticeably better around Christmas 2025 as model capability and surrounding “agent harness” improvements converged. The article cites a Harness-Bench result where scores on the same 106 tasks ranged from 52.4 to 76.2 with model unchanged. As a result, the harness is increasingly absorbed into model weights while what remains shifts toward an interface for human attention and control.
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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The biggest throughline today is Moonshot AI doubling down on weight openness—this time with a flagship model it’s positioning as practical, not just publishable. Moonshot’s new Kim K3.1 Pro is a post-trained upgrade of its July Kim K3, now at 3T parameters, and it’s already paired with a concrete score: 92.7% on BenchCAD, a 3D model coding benchmark. The company claims some tasks come out ahead of Claude Opus 5.5 and GPT-6 Astra, but the more telling detail is what Moonshot plans to do with those results: push further into 3D modeling and animation, then open the weights by Nov. 4. The “post-trained” framing matters too—it’s a reminder that raw scale isn’t the only lever; shaping behavior after pretraining can move specific product goals.
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