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Speeding up AI coding assistants by splitting writing and choosing tasks

This guide explains how to split tasks between an AI assistant that writes code and a tool that chooses from options. It covers how this setup works, its speed benefits in tests, and its risks.

Original by Made with JevAgent workflows

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Credits

“Jev with Claude Code” by Made with Jev. Read the original source.

This expanded guide is an AI-narrated adaptation prepared by JevMade. It expands the source’s essential ideas, examples and caveats in JevMade’s own words and is not a word-for-word reading. The synthetic voice does not imitate the author or imply their endorsement.

Our summary

This guide explains how to pair a writing AI assistant with Jev, an AI tool that chooses from options rather than writing answers. People use this setup to handle simple yes-or-no checks and sort information while the main assistant focuses entirely on writing new code.

Instead of asking the writing assistant to think through every small choice, the setup hands fixed decisions to Jev. The decision tool can also quickly score and delete old information. In one test, this method shrank a million tokens, representing the amount of text processed, to 86,000 in one second.

This approach is useful for tasks with many repetitive choices, but the advertised speedups are maximum limits rather than normal results. Deleting old information can sometimes erase important details, and poorly defined choices will still produce confident but incorrect answers.

Key takeaways

  1. Look at past tasks to find simple yes-or-no choices before changing how the AI assistant works.
  2. Tasks with many small decisions see the biggest speed improvements in these individual tests.
  3. Deleting old text quickly saves memory, but it can accidentally remove details the AI assistant needs.

The published speed improvements and memory reduction numbers come from individual tests. They are not guaranteed results for every project.

Made with Jev guide · Source reviewed

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