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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.
Connects Git repos to answer plain-English questions about your code with file references and dependency context.
Open-source, plugin-based ChatGPT command-line toolkit for AI commit messages, shell commands and translation in the terminal.
Chrome extension acting as an AI SQL copilot inside Metabase—generating, editing, explaining and formatting queries.
No public pricing
No public pricing
Free trial available
- ✦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
- ✦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
- ✦npm-installable ChatGPT CLI
- ✦AI-generated Git commit messages
- ✦Natural-language to shell commands
- ✦AI translation plugin
- ✦Extensible plugin system
- ✦Build custom AI CLI workflows
- ✦Natural-language SQL generation
- ✦AI editing of SQL queries
- ✦Plain-English explanations of complex queries
- ✦Automatic SQL formatting
- ✦Auto-generated chart titles
- ✦Auto-added query comments
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- →Getting live help on coding interview problems
- →Answering technical questions in real time
- →Avoiding detection during screen-shared interviews
- →Onboarding new engineers faster
- →Answering questions about a codebase
- →Understanding how components connect
- →Finding and diagnosing bugs
- →Generating documentation from code
- →Writing commit messages automatically
- →Turning plain English into terminal commands
- →Translating text from the command line
- →Creating personal AI CLI tools
- →Speed up SQL writing in Metabase
- →Understand inherited or complex queries
- →Document SQL with comments
- →Format messy queries