Partial Progress Save and Restore Loop: Claude Code Prompt

Agent LoopsAgent Loops

Partial Progress Save and Restore Loop: Claude Code Prompt

Design a loop that saves progress after each item and restores partial results on restart instead of reprocessing everything

Write the partial progress module for the long-running agent loop in [YOUR_PROJECT].

The loop processes a list of [ITEM_TYPE] items. It may take hours and must be safe to interrupt.

Implement a ProgressStore class back
TLDR

Partial progress save and restore pattern for long-running Claude Code loops. Saves completed results after each item to a JSON store, and on restart loads completed results and skips already-processed items.

How to use

  1. 1

    Replace [YOUR_PROJECT] and [ITEM_TYPE] with specific names relevant to your project and data to ensure the code is tailored to your needs.

  2. 2

    Add error handling in the load() method to manage situations where the store file may not exist or is corrupted, enhancing the reliability of your agent loop.

  3. 3

    Try implementing a logging mechanism within the ProgressStore class to track when items are saved or loaded, which can help with debugging and monitoring the loop's performance.

Frequently asked questions

What is the Partial Progress Save and Restore Loop: Claude Code Prompt prompt used for?

Partial progress save and restore pattern for long-running Claude Code loops. Saves completed results after each item to a JSON store, and on restart loads completed results and skips already-processed items.

How do I get the best results from this memory & state prompt?

Paste the prompt into Claude Code, Cursor, Replit, fill in every bracketed placeholder with your specific information, then submit. The more detail you add to each placeholder, the more targeted the output. You can continue in the same conversation to refine tone, length, or focus without restarting from scratch.

Does this prompt work with Claude Code?

Yes. This prompt is optimized for Claude Code and also works well with Cursor and Replit. The structured format with a defined role and numbered steps produces consistent results across all major instruction-following models, so you can use whichever tool you prefer.

How do I access this agent loops prompt?

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