Developers are navigating confusing gaps between expectation and reality. So are the rest of us.

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MIT Technology Review

AI coding tools have achieved widespread adoption, with 65% of developers using them weekly, but evidence of productivity gains remains mixed. While tech CEOs claim up to 25% of code is AI-generated, research shows quality concerns are mounting: technical debt is accumulating, code maintainability is declining, and one study found developers were actually 19% slower despite believing they were 20% faster. The tools excel at boilerplate code and simple tasks but struggle with complex problems due to limited context windows and hallucinations. Latest coding agents show promise on benchmarks, but organizational adoption faces challenges around code review bottlenecks, security vulnerabilities, and the need to restructure development processes. Junior developer employment has dropped 20% since 2022, raising concerns about the talent pipeline.

AI coding is now everywhere. But not everyone is convinced.