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Connects Git repos to answer plain-English questions about your code with file references and dependency context.
AI screenplay-coverage tool returning structured coverage reports and development notes per script in minutes.
One-click bug-reporting tool that auto-captures console, network logs and repro steps for developers.
Free tool that auto-generates conversational, browsable documentation for any public GitHub repo, from the makers of Devin.
Local desktop app that assembles code-context prompts for LLMs, with API integrations, token tracking, and prompt saving.
Free trial available
No public pricing
- ✦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
- ✦11-section AI coverage reports
- ✦Scene-by-scene development notes
- ✦AI chat assistant for deeper insights
- ✦Script dashboard and organization
- ✦Results in minutes
- ✦Free screenwriting tools (formatter, character builder)
- ✦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
- ✦AI-generated documentation for GitHub repos
- ✦Conversational Q&A about a codebase
- ✦Browsable index of popular repositories
- ✦Deep code indexing via Devin
- ✦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
- →Onboarding new engineers faster
- →Answering questions about a codebase
- →Understanding how components connect
- →Finding and diagnosing bugs
- →Generating documentation from code
- →Getting screenplay coverage quickly
- →Development notes before rewrites
- →Evaluating scripts for production
- →Iterating affordably on drafts
- →Filing detailed bug reports
- →Reproducing issues faster in QA
- →Sharing debug context with engineers
- →Triaging support bug reports
- →Understanding an unfamiliar codebase quickly
- →Onboarding to open-source projects
- →Answering questions about repo internals
- →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