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The quality of AI-assisted software depends on unit of work management
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Breaking down your task into “right-sized” units of work, which describe just the right amount of detail is perhaps the most powerful lever to improve your context window, and thus the correctness and quality of the generated code. As a regular user of agentic coding tools (my current one is Codex CLI), I’ll eat my shoe if GPT-5 starts nailing my tasks 99.9% of the time. Until we find the magic sauce that solves this, it is clear that we need a workflow that can break down our problem into units of work, with verifiable checkpoints to manage the compounding of errors.
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