A coding agent loop built around Jev: pick files, choose actions, verify results
The author demonstrates a coding agent workflow centered on Jev that decides whether to continue, retry, or ask for help after each result, reducing wasted steps.
Your AI agent is still working. But is it getting anywhere? Opening more files. Calling more tools. Rewriting the same code. Every action costs time. Every bad decision creates more work. This is the coding loop I’d build around Jev: → Pick the relevant files. → Choose the next action. → Make a focused change. → Check permissions. → Test the result. → Bring the evidence back to you. After each result, decide: continue, retry, or ask for help. The video illustrates the concept with simulated activity. The goal is simple: fewer wasted steps between “build this” and something you can actually use.
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