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Connects Git repos to answer plain-English questions about your code with file references and dependency context.
Undetectable desktop AI assistant that feeds real-time answers during coding and technical interviews.
Cloud-agnostic AI/ML workflow orchestrator that runs pipelines inside a customer's own infrastructure for compute-heavy teams.
Vibe-coding builder creating full-stack apps by chatting with AI.
AI app builder that turns plain-English prompts into deployable full-stack web apps with a managed database and full code ownership.
No public pricing
Free trial available
- ✦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
- ✦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
- ✦Python-native dynamic workflow authoring
- ✦Automatic failure recovery, caching, and versioning
- ✦Zero Trust architecture keeping data inside customer's cloud
- ✦Real-time inference and agentic-AI workflow support
- ✦High-throughput scaling (tens of thousands of actions per run)
- ✦Local development environment matching production behavior
- ✦CodeFlying enables full-stack app creation via chat in minutes
- ✦Builds full-stack apps from plain-English descriptions
- ✦Choice of 12+ underlying AI models
- ✦Managed Supabase database included
- ✦GitHub code export on all plans
- ✦One-click Vercel deployment
- ✦Credits that don't expire while subscribed
- →Onboarding new engineers faster
- →Answering questions about a codebase
- →Understanding how components connect
- →Finding and diagnosing bugs
- →Generating documentation from code
- →Getting live help on coding interview problems
- →Answering technical questions in real time
- →Avoiding detection during screen-shared interviews
- →ML teams orchestrating training and inference pipelines at scale
- →Biotech/geospatial companies needing GPU-heavy pipeline orchestration
- →Enterprises migrating off Airflow for ML workflow management
- →Teams requiring workflows that never send data outside their own cloud
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- →Non-technical founders shipping an MVP quickly
- →Agencies delivering client projects faster
- →Developers prototyping SaaS ideas without boilerplate setup
- →Solo builders launching small businesses without hiring engineers