Our summary
This twelve-page guide explains how to build AI coding assistants that stay organized. Instead of keeping a long, messy conversation history, it suggests sorting information into clear categories so the software can find what it needs for each problem.
The setup uses Jev, an AI tool that chooses from options rather than writing answers, as a manager. Jev recommends background details, tools, and allow, ask, or deny outcomes. Ordinary code enforces permissions, while other AI models perform the coding work.
This guide is for people designing complex AI assistants. It warns that switching models to save money can cost more because each model must reread the background. It also recommends offering tools gradually, while keeping permission checks and actions under normal code control.
Key takeaways
- Switching between AI models can cost more money because the software must re-read background information.
- Do not load every available tool at once; offer them in stages based on the current task.
- Let the decision-making AI recommend allow, ask, or deny; ordinary code must enforce permissions and control what runs.