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AI tool for engineering teams that automates code review, status updates, and answers questions about what's changing in code.
AI design-to-code tool that converts Figma designs or cloned websites into HTML/React and builds apps with vibe coding.
One-click bug-reporting tool that auto-captures console, network logs and repro steps for developers.
Low-code integration platform for connecting thousands of APIs into workflows and AI agents, including an MCP tool server.
Google Labs experiment for building and sharing AI mini-apps from natural-language prompts, no coding required.
No public pricing
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No public pricing
No public pricing
- ✦AI code review
- ✦Automatic engineering status updates
- ✦Agent that answers questions and takes action
- ✦Metrics on coding time and project focus
- ✦Pushed vs landed tracking
- ✦Commit and contributor insights
- ✦Figma-to-code (HTML/React)
- ✦Clone any or private website to code
- ✦AI website and app builder
- ✦Figma agent (Buddy) and design agent
- ✦Anima MCP server and API
- ✦Adobe XD support
- ✦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
- ✦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
- ✦Build AI mini-apps from natural-language prompts
- ✦Visual editor for prompt/tool workflows
- ✦Share created apps with others
- ✦No-code AI app prototyping
- →Automating code reviews
- →Keeping stakeholders updated on engineering progress
- →Understanding what's changing in a codebase
- →Tracking team productivity metrics
- →Converting Figma designs to code
- →Cloning sites as starting points
- →Building web apps with AI
- →Automating design-to-code in dev workflows
- →Filing detailed bug reports
- →Reproducing issues faster in QA
- →Sharing debug context with engineers
- →Triaging support bug reports
- →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
- →Prototyping an AI workflow quickly
- →Sharing a custom AI mini-app
- →Automating a task with chained prompts