Squick tool optimizes LLM agent code context
TL;DR. A new developer tool, Squick, pre-computes codebase context, significantly reducing token consumption for AI coding agents. - Squick extracts structural facts and framework markers, creating artifacts for agents. - This process avoids repeated repository scans, saving tokens on every AI prompt. - The tool supports multiple programming languages and frameworks out of the box.
- Squick generates pre-computed, LLM-targeted code context.
- It creates structural fact artifacts, including call graphs and dependency manifests.
- The tool reduces token waste by eliminating repetitive repository scanning for AI agents.
- Squick supports TypeScript, Python, and various backend/frontend frameworks.
Sources
- Check our new AI developer tool and please REVIEW — github.com