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Vibe-coding builder creating full-stack apps by chatting with AI.
Connects Git repos to answer plain-English questions about your code with file references and dependency context.
Free-to-start transcript generator converting TikTok, Instagram, and YouTube links or uploaded media files into text with timestamps.
AI coding platform and IDE that orchestrates multiple agent sessions and lets teams plug in their own AI subscriptions.
Spreadsheet-style Python data tool inside Jupyter that generates code via AI so analysts and data scientists can skip hand-coding.
No public pricing
No public pricing
- ✦CodeFlying enables full-stack app creation via chat in minutes
- ✦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
- ✦Transcription from TikTok, Instagram, and YouTube links
- ✦Direct file upload transcription
- ✦Timestamped transcripts
- ✦Bulk URL and file processing on paid plans
- ✦Multiple export formats (TXT, SRT, VTT, DOCX)
- ✦Browser extension for one-click transcription
- ✦AI coding IDE with agent orchestration
- ✦Run and manage multiple agent sessions
- ✦Task, artifact and collaboration tools
- ✦Bring-your-own AI subscription or API keys
- ✦Cloud-scale agent execution
- ✦Spreadsheet interface inside Jupyter notebooks
- ✦AI-generated Python code from spreadsheet actions
- ✦Runs on customer infrastructure (no data sent to Mito)
- ✦Bring-your-own LLM API keys
- ✦Excel-to-Python conversion
- ✦Compatible with existing Jupyter extensions
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- →Onboarding new engineers faster
- →Answering questions about a codebase
- →Understanding how components connect
- →Finding and diagnosing bugs
- →Generating documentation from code
- →Social media managers transcribing TikTok/Instagram content
- →Creators needing subtitle files in multiple formats
- →Users bulk-transcribing multiple videos at once
- →Shipping code faster with AI agents
- →Coordinating agent work across a team
- →Managing tasks and artifacts in one place
- →Running many parallel agent sessions
- →Analysts automating Excel-style reports without hand-writing code
- →Data scientists speeding up exploratory data analysis
- →ML engineers iterating on feature engineering in notebooks
- →Enterprises needing private, self-hosted AI coding assistance