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Connects Git repos to answer plain-English questions about your code with file references and dependency context.
Enterprise AI agent platform for building, deploying, and governing no-code agents across company knowledge and workflows.
Vibe-coding builder creating full-stack apps by chatting with AI.
One-click bug-reporting tool that auto-captures console, network logs and repro steps for developers.
Connects to GitHub or GitLab and auto-generates a tailored README from repo analysis for developers who skip manual doc writing.
Free trial available
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
- ✦No-code visual agent builder
- ✦Company knowledge search across docs and wikis
- ✦Scheduled and recurring agent automations
- ✦Model-agnostic access to major AI models
- ✦Browser extension integration with 30,000+ apps
- ✦Data analysis of spreadsheets and reports
- ✦Enterprise SSO/SCIM/SAML and dedicated deployment
- ✦CodeFlying enables full-stack app creation via chat in minutes
- ✦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
- ✦One-click README generation from a connected repo
- ✦Automated analysis of code structure and dependencies
- ✦Support for both GitHub and GitLab accounts
- ✦Separate access levels for public-only vs public+private repos
- →Onboarding new engineers faster
- →Answering questions about a codebase
- →Understanding how components connect
- →Finding and diagnosing bugs
- →Generating documentation from code
- →Automating recurring reports and workflow tasks
- →Searching internal company knowledge with AI agents
- →Deploying AI copilots for sales, support, or legal teams
- →Running enterprise AI with strict data governance requirements
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- →Filing detailed bug reports
- →Reproducing issues faster in QA
- →Sharing debug context with engineers
- →Triaging support bug reports
- →Open-source maintainers wanting a polished README fast
- →Developers documenting side projects without manual writing
- →Teams standardizing README quality across repos