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Connects Git repos to answer plain-English questions about your code with file references and dependency context.
AI coding assistant on Stack Overflow that answers dev questions using the site's Q&A knowledge base, via chat or IDE.
Vibe-coding builder creating full-stack apps by chatting with AI.
Undetectable desktop AI assistant that feeds real-time answers during coding and technical interviews.
Developer API that gives AI agents persistent memory, retrieval, and connectors, usable both as infrastructure and a personal app.
No public pricing
No public pricing
- ✦Natural-language search across a codebase
- ✦Architecture explanations and dependency graphs
- ✦Bug hunter that traces issues across files
- ✦AI code review before opening a PR
- ✦Automatic documentation generation
- ✦Multi-repo support via OAuth
- ✦Chat interface for asking coding questions
- ✦Answers sourced from Stack Overflow's Q&A archive
- ✦MCP server for IDE/agent integration
- ✦Saves and returns to chat history when logged in
- ✦CodeFlying enables full-stack app creation via chat in minutes
- ✦Real-time AI answers during technical interviews
- ✦Invisible to screen sharing and recording
- ✦Hidden from dock, tray and activity monitor
- ✦Click-through overlay
- ✦Live audio capture and transcription
- ✦Lifetime unlimited access license
- ✦Persistent, structured memory built as a knowledge graph
- ✦Sub-300ms hybrid retrieval (RAG) with reranking
- ✦Native filesystem mount for agent memory access
- ✦Connectors to Slack, Notion, Drive, Gmail, GitHub, S3
- ✦Automatic extraction from PDFs, images, and audio
- ✦User profile and behavior tracking across sessions
- →Onboarding new engineers faster
- →Answering questions about a codebase
- →Understanding how components connect
- →Finding and diagnosing bugs
- →Generating documentation from code
- →Debugging code without leaving chat
- →Getting quick answers grounded in community-vetted content
- →Connecting AI coding agents to Stack Overflow via MCP
- →Researching solutions during IDE-based development
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- →Getting live help on coding interview problems
- →Answering technical questions in real time
- →Avoiding detection during screen-shared interviews
- →Developers adding long-term memory to AI agents
- →Teams building agents that need to sync with existing tools
- →Individuals wanting one memory layer shared across multiple AI assistants