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  1. 1
    Ask HN: Is anybody producing good code with coding agents?โ—YhnScienceBiology248 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
    Harvard Physicist Uses AI to Crack 400 Scientific Problems in Monthsโ—Harvard Physicist Teams with AI to Solve 400 Scientific Problems in Three Months๐•xSE1K9 h ago

    A Harvard physicist reports that, working alongside artificial intelligence tools, he solved 400 scientific problems in three months โ€” 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.

  3. 3
    Developer cuts AI code review noise by a thirdโ—AI code review has a noise problem. On a public benchmark of 50 real pull requests, CodeRabbit raised... # ai # codereviMmastodonTechnologySoftware31 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
    AI code review reports arrive before humans even open the PRโ—Picture this, you open a PR and the AI report is already waiting. Three findings, all minor. You skim... # codereview #MmastodonTechnologyAI211 h ago

    Developers are discussing the growing normalisation of AI-generated code review, where an automated report is already waiting when a pull request is opened โ€” in the example, three minor findings and an approval. The debate centres on whether these instant AI verdicts add value or create a false sense of scrutiny, with critics noting code can be approved without anyone truly understanding it.

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