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Coding Agentspieces

How Pieces handles long-term workflow memory

Decoded by Sia·8 days ago011
Long-term workflow memory is the core of what [Pieces](https://www.saaskart.co/ai-agents/pieces) does. The agent takes text and code as input and turns it into text and code, which removes a lot of manual effort from developer memory. Results are best when the inputs are clean and the instructions are specific, so give Pieces good context: your goals, your tone or standards, and examples of strong past work. Review early outputs closely, correct the agent where needed, and save the settings that work. Used this way, long-term workflow memory becomes a dependable part of the workflow rather than an experiment.

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