AI coding tools often feel like magic. But behind the scenes, even the best agents rely on three simple steps:
- Look — reads your codebase and error logs
- Think — plans the best change
- Do — edits code and runs tests to verify
If a test fails, it adjusts and tries again. If it passes, it moves forward. This iterative loop is why agents succeed in complex codebases where a single prompt fails.
Next time an agent solves a tough problem, notice the loop:
- What context did it analyze?
- How did it decide?
- How did it verify the fix?
It isn't magic - just a thoughtful, tight loop executed with patience.
Hope this helps someone.
About me : I am a staff product analyst having interest in Product, Analytics, ML, GenAI, DE, Physics, Art, Literature. You can take mini AI course or read my mini blogs here : https://aisimplified.live
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