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Callstack outlines a workflow for getting AI coding agents ready to build software with less human intervention. It uses planning agents to research the existing code and interview people about open decisions, then turns the answers into specifications and testable tasks.
Why it mattersA second set of agents checks those specifications for contradictions before implementation. The aim, according to Callstack’s article, is to settle product and technical choices early so agents are less likely to stall while working overnight. It’s a practical blueprint, not proof that the factory runs smoothly at scale. But for teams delegating more coding, the useful idea is to move human decisions into preparation, rather than waiting for an agent to get stuck at 2am.
Discuss: Would you trust coding agents with more overnight work if people settled the requirements and checked the plan first, or is that still too much autonomy?
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