Developer Builds AI Task Orchestrator to Solve Context Window Drift in Coding

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A software developer found that long AI coding sessions degrade in quality as models forget earlier decisions and contradict previous implementations. Instead of seeking larger context windows, he restructured the workflow by splitting projects into isolated, single-task AI sessions that start fresh each time. He built an open-source AI Task Orchestrator that processes a task list one item at a time, launching and discarding a new AI session per task. The tool verifies each task's completion by checking that source files changed, the project builds, and tests pass before moving on. If verification fails, the AI receives the error details and retries, making the overall workflow more reliable than trusting the model's self-reported status.

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