Intelligent interview assistant that parses resumes, generates interview questions, records conversations, and produces evaluation reports for technical interviews.
Provides AI coding assistants with persistent, context-rich memory of a codebase, including documentation and git history, enabling recall across sessions.
An interactive learning assistant that helps developers understand AI-generated code changes through quizzes and blocking learning sessions. It tracks and searches debugging experiences using RAG to ensure users build long-term technical understanding rather than just copy-pasting solutions.
AI-powered code review assistant that analyzes repositories for security vulnerabilities, performance bottlenecks, and code quality issues through natural language interactions.
Provides AI assistants with persistent memory of your project architecture, development history, and technical decisions, allowing them to give context-aware coding help without needing repeated explanations.
Transforms your local repository into a shared project brain using recursive reasoning and local LLMs to analyze, reason, and remember project architecture.