Note on 24th September 2026
Simon Willison’s Weblog 4 weeks ago 51 ● 2 sources
A writer argues that coding agents make software engineering harder despite their ability to do impressive work.
401 summarised stories about AI Coding Agents, each linking back to the original source. Browse all topics →
Simon Willison’s Weblog 4 weeks ago 51 ● 2 sources
A writer argues that coding agents make software engineering harder despite their ability to do impressive work.
Product Hunt 4 weeks ago 7
Rinkata launched a product to connect product intent from idea to deploy for teams and AI coding agents. It runs today and lets agents like Claude, Codex, Cursor, ChatGPT, Gemini, and Grok read and write via MCP. It changes how AI agents get requirements and how finished work is documented by automatically collecting completion evidence such as tests and PRs back into a shared hub.
Product Hunt 4 weeks ago 37
Szept was launched as a Mac app for dictating to AI agents and handing the results to Claude Code. It supports dictation in 60+ languages. Screen capture/recording and AI text cleanup are bundled in, with the source code included.
Product Hunt 4 weeks ago 47
RemoteConsole launched as a mobile SSH terminal that lets developers connect to their own Mac and Linux machines to control persistent tmux sessions running AI coding agents.
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The biggest thread today wasn’t about a shinier model—it was about where AI actually runs, and who gets to control the bill. Dell says hybrid infrastructure decisions are shifting as inference spending rises, forcing enterprises to choose not just where models run, but what data and models they plug into the pipeline. That’s the practical bottleneck hiding behind every “just deploy it” plan: training is a one-time pain; inference is the daily tax. The same anxiety showed up in investor sentiment too, with AI-linked shares wobbling as data-center expansion questions hit public markets, even as hyperscalers keep finding ways to scale throughput.
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