Building Persistent Context for Coding Agents
If you have used a coding agent on anything bigger than a quick script, you have felt this. The agent does real work. It writes the code, runs the tests, hits the API. Then it stops, hands you the result, and waits for you to re-explain the goal, the priorities, and the constraint that changed two days ago. Do that across a dozen projects and you are no longer the engineer. You are the memory and the coordinator for the whole operation, and that job gets harder every time the agents get faster.
The capability is not the constraint anymore. The agents can do the work. What breaks down is everything around the work: holding the right context, keeping the agent pointed at the goal across many steps, and trusting what comes back enough to build on it. Supply all of that by hand, one prompt at a time, and...
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