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AI codebase assistant that chats with your repos to search, debug, review PRs, and generate docs and unit tests.
Low-code integration platform for connecting thousands of APIs into workflows and AI agents, including an MCP tool server.
Enterprise AI coding assistant that pulls context from an entire codebase to power chat, code edits and debugging.
No-code AI platform using multi-agent 'employees' to research, build, deploy and market full-stack apps from a prompt.
Marketplace and no-code builder for AI mini-apps and chatbots, with one-place access to many models and embeds.
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No public pricing
- ✦Chat with your repositories
- ✦Natural-language codebase search
- ✦Fast code indexing
- ✦AI pull-request and commit review
- ✦Automated documentation generation
- ✦AI unit-test generation
- ✦Visual and code-based workflow builder
- ✦Prebuilt AI agent builder and deployment
- ✦Managed authentication across thousands of apps
- ✦MCP server exposing integrations as agent tools
- ✦Scheduled and event-triggered workflows
- ✦Connect SDK for embedding integrations into other products
- ✦Codebase-aware developer chat
- ✦AI code completions and inline edits
- ✦Customizable and shareable prompts
- ✦Automatic bug identification and debugging help
- ✦Context filters to exclude sensitive repos
- ✦Integrates with major code hosts and IDEs
- ✦Multi-agent AI team (PM, engineer, analyst, etc.)
- ✦Chat-to-build full-stack apps
- ✦Built-in backend: auth, database, Stripe
- ✦SEO and ads agents
- ✦Race Mode across multiple models
- ✦Code export and GitHub sync
- ✦Access to many AI models in one place
- ✦Create no-code AI mini-apps and chatbots
- ✦Community app/game marketplace
- ✦Embed apps on websites
- ✦Image, audio and video generation apps
- →Onboard new developers to a codebase
- →Resolve bugs faster
- →Generate docs and tests automatically
- →Review pull requests with AI
- →Building AI agents that call external APIs and tools
- →Automating cross-app workflows such as Slack, Gmail, or Sheets notifications
- →Embedding third-party integrations into a SaaS product
- →Prototyping event-driven automations without heavy infrastructure
- →Engineers asking questions about an unfamiliar large codebase
- →Teams standardizing common coding tasks with shared prompts
- →Developers debugging errors faster with AI-assisted context
- →Enterprises running large-scale code migrations
- →Build SaaS and e-commerce apps
- →Launch MVPs in minutes
- →Add payments and user login
- →Drive SEO and ad growth
- →Export code and self-host
- →Building custom AI chatbots
- →Discovering community AI apps
- →Embedding AI apps on a site
- →Generating images, music and text