AI coding tools like GitHub Copilot and ChatGPT promise faster development, but is the reality different?
In this episode of &DEV, Harvey Sparkes and I dive into fresh research showing that while developers expected a 24% productivity boost, the real-world results are closer to 20% — with delays sometimes canceling out the gains. We’ll explore: Why AI tools might slow you down on large legacy codebases.
How experienced developers use AI more effectively. The importance of targeted AI use vs. full automation. Real examples of where LLMs shine — and where they fail. If you want to know when to trust AI for coding (and when to avoid it), this video is for you.
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