Refines and improves AI prompts using workspace-aware context from your project's tech stack, structure, and dependencies. Includes tools to analyze prompt quality and generate well-structured prompts from raw ideas.
Intelligently analyzes codebases to enhance LLM prompts with relevant context, featuring adaptive context management and task detection to produce higher quality AI responses.
Provides AI-driven project memory management through structured prompts that help Claude parse tasks from specs, review code changes, sync with commit history, and maintain project documentation without directly accessing files.
A powerful context management system that maintains persistent context across coding sessions, helping development teams track project structure, dependencies, and progress.
Project memory and scoping engine for AI coding agents. It gives any agent persistent project state, bounded work packages, and cross-session continuity.
