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  1. 1
    Ask HN: Is anybody producing good code with coding agents?▼YhnScienceBiology2521 min ago

    A discussion thread on Hacker News asks whether developers are actually producing good code with AI coding agents. The question invites engineers to share firsthand experiences on whether these tools deliver production-quality results or mostly generate code that needs heavy review and rework.

  2. 2
    SwiftFairy update speeds up AI code reviews on macOS●Just pushed an update to SwiftFairy 🧚, our native macOS MCP server that reviews your agent’s code locally for correctnesMmastodonTechnologyAI31 h ago

    Developer hishnash has released version 2026.10.1 of SwiftFairy, a native macOS MCP server that reviews AI agents' code locally for correctness, performance and maintainability. The update lets agents send file paths instead of full source code, making large reviews faster. It is a small but notable release for developers running AI coding agents on Macs, reflecting growing interest in local, privacy-friendly tooling.

  3. 3
    Developer cuts AI code review noise by a third●AI code review has a noise problem. On a public benchmark of 50 real pull requests, CodeRabbit raised... # ai # codereviMmastodonTechnologySoftware33 h ago

    A developer has published findings that CodeRabbit, a popular AI-powered code review tool, produces excessive noise when reviewing real pull requests. On a public benchmark of 50 genuine pull requests, the tool flagged far more issues than necessary, and a modification reduced its review noise by roughly a third. The work has sparked discussion among developers about whether AI review tools create too many low-value comments that slow teams down.

  4. 4
    Harvard Physicist Uses AI to Crack 400 Scientific Problems in Months●Harvard Physicist Teams with AI to Solve 400 Scientific Problems in Three Months𝕏xSE1K11 h ago

    A Harvard physicist reports that, working alongside artificial intelligence tools, he solved 400 scientific problems in three months — a pace he credits to AI handling calculations, literature review and code while he directed the research. Commenters are split: some call it proof that AI can dramatically accelerate real science, others question how rigorous the problems were and whether the results can be independently verified.

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