Bug Detection Blind Spots in AI Coding Harnesses (GStack and Beyond)

# AI Still Struggles to Spot Code Bugs When Key Information Is Hidden Recent testing shows that AI coding assistants aren't failing because programs are too complex—they're failing because they don't have access to enough context about how the code actually works. When developers give AI tools the full picture of what a program is supposed to do, it gets much better at finding problems. This matters because it means you might need to be more specific and thorough when asking AI to review your code, rather than expecting it to magically catch everything on its own.
28 debugging experiments reveal that AI struggles less with complexity than with missing information. The post Bug Detection Blind Spots in AI Coding Harnesses (GStack and Beyond) appeared first on Towards Data Science.
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