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 ...
Multi-agent coding needs isolation and trace logs; timestamped action trails and separate workspaces cut conflicts and ease ...
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