73 summarised stories about AI-Assisted Programming, each linking back to the original source. Browse all topics →
Simon Willison’s Weblog 2 months ago 27
Users reported a recurring weird bug that their team has tried to fix 4 times by asking AI, but they still can’t explain it. Claude generates a long stream of text with high confidence, even though the team can’t verify where the underlying data comes from. The project becomes harder to understand as layers and services pile up, leaving no one able to trace what’s actually happening.
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TLDRocket
20 October 2026
AI infrastructure is getting a very practical second act today: making agents faster to start, cheaper to run, and easier to govern once they’re running. Daytona, which sells an “agentic cloud” built around VMs for agent “computers,” raised $60 million in a Series B and landed at a $1 billion valuation, targeting 60-millisecond sandbox provisioning—an attempt to knock down the latency tax that makes agents feel sluggish between steps. IBM, Red Hat, and others also pushed llm-d framework 1.0, adding operational controls for in-house distributed inference, including multi-tenant QoS, zero-downtime upgrades, and router behavior measured on an agentic coding test that reportedly captured 97% cache reuse.
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