An AI agent reads its own source code, forms a hypothesis for improvement (such as changing a learning rate or an architecture depth), modifies the code, runs the experiment, and evaluates the results ...
GitHub data suggests AI coding assistants are starting to influence which programming languages developers choose.
Savvy developers are realizing the advantages of writing explicit, consistent, well-documented code that agents easily understand. Boring makes agents more reliable.
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