codebase-scale

#codebase-scale

@mylifcc: After analyzing 1281 agent runs (covering 40+ large open-source repositories), Sourcegraph concluded: Coding agents fail in large codebases not because the models aren't smart enough, but because the infrastructure can't keep up. The most common failure mode is "Lost in …"

X AI KOLs Timeline ↗ · 2026-05-23 Cached

Based on 1281 agent runs, Sourcegraph found that the main reason coding agents fail in large codebases is insufficient infrastructure, not model capability. The typical failure mode is "lost in the codebase," requiring improvements in code retrieval, navigation, and context engineering.

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codebase-scale

@mylifcc: After analyzing 1281 agent runs (covering 40+ large open-source repositories), Sourcegraph concluded: Coding agents fail in large codebases not because the models aren't smart enough, but because the infrastructure can't keep up. The most common failure mode is "Lost in …"

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