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#codereviews — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #codereviews, aggregated by home.social.

  1. Discover how #Meta improved #SoftwareQuality with a Just-in-Time (JiT) testing approach that dynamically generates tests during code review.

    The system increases bug detection by approx 4x in AI-assisted development using LLMs, mutation testing, and intent-aware workflows like Dodgy Diff.

    More on #InfoQbit.ly/4tqylKc

    #SoftwareArchitecture #SoftwareTesting #AI #LLMs #CodeReviews

  2. Discover how #Meta improved #SoftwareQuality with a Just-in-Time (JiT) testing approach that dynamically generates tests during code review.

    The system increases bug detection by approx 4x in AI-assisted development using LLMs, mutation testing, and intent-aware workflows like Dodgy Diff.

    More on #InfoQbit.ly/4tqylKc

    #SoftwareArchitecture #SoftwareTesting #AI #LLMs #CodeReviews

  3. Discover how #Meta improved #SoftwareQuality with a Just-in-Time (JiT) testing approach that dynamically generates tests during code review.

    The system increases bug detection by approx 4x in AI-assisted development using LLMs, mutation testing, and intent-aware workflows like Dodgy Diff.

    More on #InfoQbit.ly/4tqylKc

    #SoftwareArchitecture #SoftwareTesting #AI #LLMs #CodeReviews

  4. Discover how #Meta improved #SoftwareQuality with a Just-in-Time (JiT) testing approach that dynamically generates tests during code review.

    The system increases bug detection by approx 4x in AI-assisted development using LLMs, mutation testing, and intent-aware workflows like Dodgy Diff.

    More on #InfoQbit.ly/4tqylKc

    #SoftwareArchitecture #SoftwareTesting #AI #LLMs #CodeReviews

  5. Discover how improved with a Just-in-Time (JiT) testing approach that dynamically generates tests during code review.

    The system increases bug detection by approx 4x in AI-assisted development using LLMs, mutation testing, and intent-aware workflows like Dodgy Diff.

    More on bit.ly/4tqylKc

  6. Traditional #CodeReviews are breaking under complexity. @vilojona shows how #AI—from PR summaries to test generation—reduces noise & raises review quality. Curious which tools deliver real impact?

    Read: javapro.io/2025/07/30/code-rev

    @SonarQube #GenAI #SonarQube #jetbrains @QodoAI

  7. #CodeReviews cost time and often miss the mark. Jonathan Vila López shows how AI tools—from #SonarQube to Copilot—help reviewers catch bugs earlier, reduce friction, and boost test coverage. Want faster, safer code reviews?

    Read #JAVAPRO: javapro.io/2025/07/30/code-rev

    #AI #GenAI

  8. While I don't think code reviews are all bad and waste of time, I do think some are bad or partial waste of time. There are effective alternatives to those weeks-long PR reviews, worth exploring imo.

    More: qase.io/blog/code-review-alter

  9. Zeit für eine #introduction

    Moin, ich arbeite als Engineering Manager im Bereich :elephpant: #php und #microservices, aber eigentlich meistens als Problemlöser. Ich liebe :laravel: #laravel, #dockerization, #documentation, #nabc und #codereviews

    Ansonsten spiele ich viel #magicthegathering, höre jeden Freitag alle neue #musik durch, bin am Samstag auf dem #flohmarkt und lese viel zu wenig #bücher und #comics.

    #verheiratet #münchen 🇩🇪 🇬🇧

    Blog @hendrik