AI Coding Agents Struggle to Pinpoint Crucial Code Lines, New Benchmark Reveals
A new study has exposed a significant weakness in AI coding agents, finding that while they can identify the correct file, they often fail to pinpoint the exact lines of code that need fixing, with traditional keyword search methods barely beating chance. This shortcoming has major implications for developers and businesses relying on AI-powered coding tools.
AI coding agents like Claude Code or Codex reliably find the right file but miss most of the critical lines within it. The new SWE-Explore benchmark is the first to test code search separately from the actual repair, and it shows that without enough context, even the best fix will fail. The article AI coding agents find the right file but miss the exact lines that matter, study shows appeared first on The Decoder.