DLDavid Lokerincoderabbit.ai·Mar 12 · 6 min readGemini 3.1 Pro for code-related tasks: More focus, higher signal-to-noiseIn practice, developers experience AI code review through the comments it leaves on pull requests: how often it finds real issues, how much noise it produces, and how actionable its feedback is. To an00
DLDavid Lokerincoderabbit.ai·Feb 12 · 8 min readDevelopers are dead? Long live developers.Predictions about the end of programming are nothing new. Every few years, someone confidently announces that this time developers are truly finished. If you listened to these self-proclaimed Nostradamuses, devs were previously set to be replaced by ...00
DLDavid Lokerincoderabbit.ai·Jan 9 · 7 min readWhy users shouldn’t choose their own LLM models: Choice is not always goodGiving users a dropdown of LLMs to choose from often seems like the right product choice. After all, users might have a favorite model or they might want to try the latest release the moment it drops. One problem: unless they’re an ML engineer runnin...00
DLDavid Lokerincoderabbit.ai·Jan 9 · 11 min readAn (actually useful) framework for evaluating AI code review toolsBenchmarks promise clarity. They’re supposed to reduce a complex system to a score, compare competitors side by side, and let the numbers speak for themselves. But, in practice, they rarely do. Benchmarks don’t measure “quality” in the abstract. They...00
DLDavid Lokerincoderabbit.ai·Dec 17, 2025 · 7 min readOur new report: AI code creates 1.7x more problemsWhat we learned from analyzing hundreds of open-source pull requests. Over the past year, AI coding assistants have gone from emerging tools to everyday fixtures in the development workflow. At many organizations, a part of every code change is now m...00
