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Free tool that auto-generates conversational, browsable documentation for any public GitHub repo, from the makers of Devin.
AI Pine Script generator for TradingView strategies and indicators.
AI tool that explains, optimizes, refactors and reviews code, with playful explanation styles for learners.
Undetectable desktop AI assistant that feeds real-time answers during coding and technical interviews.
Local desktop app that assembles code-context prompts for LLMs, with API integrations, token tracking, and prompt saving.
No public pricing
No public pricing
No public pricing
- ✦AI-generated documentation for GitHub repos
- ✦Conversational Q&A about a codebase
- ✦Browsable index of popular repositories
- ✦Deep code indexing via Devin
- ✦AI-powered Pine Script code generation
- ✦Custom strategy and indicator creation
- ✦Error correction and code optimization
- ✦TradingView integration
- ✦AI code explanation in plain language
- ✦Multiple explanation styles/personas
- ✦Code optimization suggestions
- ✦Code refactoring
- ✦Code review
- ✦Example algorithms to learn from
- ✦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
- ✦Source-code context and prompt management
- ✦Custom and formatting instructions
- ✦BYOK API integrations (OpenAI, Claude, Gemini, etc.)
- ✦Token-limit tracking
- ✦Code-edit feature with visual diffs and backups
- ✦Local, offline prompt generation
- →Understanding an unfamiliar codebase quickly
- →Onboarding to open-source projects
- →Answering questions about repo internals
- →Generating custom trading strategies for backtesting on TradingView
- →Creating custom indicators for technical analysis
- →Automating the process of writing Pine Script code
- →Understanding unfamiliar code
- →Learning how algorithms work
- →Refactoring and cleaning up code
- →Getting a quick AI code review
- →Explaining code to beginners
- →Getting live help on coding interview problems
- →Answering technical questions in real time
- →Avoiding detection during screen-shared interviews
- →Building context-rich prompts for AI coding
- →Comparing model outputs on the same task
- →Reusing saved prompts across tech stacks
- →Keeping code private during prompt creation