building a high-performance code review product requires understanding the tradeoffs…
This is a AI post classified by Jev as AI coding agents (a model release), kept by the AI Radar because it carries real work, not commentary.
building a high-performance code review product requires understanding the tradeoffs between recall, precision, latency, cost, and the severity of bugs each model catches. we’ve spent over a year building a benchmark, evals and dataset to understand those tradeoffs in order to keep @macroscope on the frontier of performance. today, we’re making those results public on MacroscopeBench so others can benefit from that work. https://macroscope.com/benchmark
Posted by Kayvon Beykpour (104.5k followers) 1 h ago · 11 likes · 795 views · view the original post on X. Kept by the AI Radar as AI coding agents. Tools mentioned: Macroscope.
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