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What part of working with AI coding tools is still surprisingly manual?
I use Codex to explore product ideas, plan features and work through implementation details. The surprisingly manual part is what happens afterward: reviewing the conversation, extracting the useful decisions, turning them into tasks and making sure important context isn’t lost between sessions. The coding itself is becoming faster, but managing the output can still feel like another workflow to maintain. For founders using AI coding tools regularly, how do you organize decisions and next ...
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