Author's claim of running entire workflows in single long sessions without performance degradation. Others recommend clearing context between phases for better results.
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The debate over whether to run entire workflows in a single session or clear context between phases reveals a tension between the AI's evolving memory and the user's need for precision. While some developers report no performance degradation in long threads, others argue that clearing the context after the planning stage prevents the model from becoming "lazy" or fixated on earlier mistakes. To bridge this gap, many users treat structured artifacts like implementation plans and checklists as "save points," allowing them to reset the conversation and maintain project continuity without the baggage of a long, potentially confusing history. Ultimately, these diverse workflows suggest that while newer models are increasingly capable of handling complex tasks autonomously, strategic manual intervention remains a popular way to ensure high-quality, focused results.
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