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There are several ways to approach Coding Agents, so I wanted to compare experiences. I am particularly interested in future improvements and common mistakes. I would like to compare approaches that people have actually used rather than just theoretical suggestions. What has worked best for...

For Reinforcement Learning, it helps to think in terms of inputs, constraints, verification, and iteration. One important area is getting started. Define what a good result looks like before changing tools or settings, then test one variable at a time so you can tell what actually improved the...