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Mar 12 · 6 min read · In 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 an
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Feb 12 · 8 min read · 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 ...
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Jan 9 · 7 min read · Giving 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...
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Jan 9 · 11 min read · Benchmarks 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...
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Dec 17, 2025 · 7 min read · What 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...
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