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One-click bug-reporting tool that auto-captures console, network logs and repro steps for developers.
Undetectable desktop AI assistant that feeds real-time answers during coding and technical interviews.
Vibe-coding builder creating full-stack apps by chatting with AI.
AI coding assistant on Stack Overflow that answers dev questions using the site's Q&A knowledge base, via chat or IDE.
An AI lab building compact Liquid Foundation Models that run on-device on phones, laptops and cars rather than in the cloud.
Free trial available
No public pricing
No public pricing
No public pricing
- ✦One-click bug capture via browser extension
- ✦Automatic repro steps
- ✦Console, network and device logs
- ✦Instant replay of recent activity
- ✦Backend tracing and an AI debugger
- ✦Integrations with Jira, Linear, GitHub and Slack
- ✦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
- ✦CodeFlying enables full-stack app creation via chat in minutes
- ✦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
- ✦Liquid Foundation Models (LFMs) for on-device use
- ✦Variants sized to run on phones, laptops and cars
- ✦Broad runtime support (llama.cpp, MLX, ONNX, CoreML, vLLM)
- ✦On-device reasoning, vision and retrieval models
- ✦Enterprise and embedded deployment partnerships
- →Filing detailed bug reports
- →Reproducing issues faster in QA
- →Sharing debug context with engineers
- →Triaging support bug reports
- →Getting live help on coding interview problems
- →Answering technical questions in real time
- →Avoiding detection during screen-shared interviews
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- →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
- →Run private AI locally on consumer hardware
- →Embed intelligence in cars and edge devices
- →Deploy tool-calling agents without the cloud