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AI prototyping tool that generates UI matching your design system, letting product teams test features fast.
Agentic terminal and cloud agent platform (Warp Terminal, Warp Agent, Oz) for developers orchestrating Claude Code, Codex, and other agents.
Google Labs experiment for building and sharing AI mini-apps from natural-language prompts, no coding required.
Atlassian's Git repository hosting for teams with built-in CI/CD pipelines and tight Jira integration for code review and deployment.
No public pricing
No public pricing
No public pricing
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- ✦AI-powered app generation
- ✦Text-to-code conversion
- ✦Full-stack Next.js app creation
- ✦Custom domain deployment
- ✦Automatic SSL certificate provisioning
- ✦Fork versions of your app
- ✦AI UI generation from prompts
- ✦Match existing styling and design systems
- ✦Rapid, high-fidelity prototyping
- ✦Live team editing and sharing
- ✦Enterprise security and compliance
- ✦Modern terminal rebuilt for agentic coding workflows
- ✦Warp Agent with multi-agent orchestration and model routing
- ✦Oz platform for launching agents into the cloud via SDK, CLI, or terminal
- ✦Codebase indexing and granular permission controls
- ✦Team-wide usage visibility and spend/credit caps
- ✦Open-source terminal core
- ✦Build AI mini-apps from natural-language prompts
- ✦Visual editor for prompt/tool workflows
- ✦Share created apps with others
- ✦No-code AI app prototyping
- ✦Git repository hosting
- ✦Bitbucket Pipelines CI/CD
- ✦Pull requests and code review
- ✦Native Jira integration
- ✦Branch permissions and access controls
- ✦IP allowlisting and security features
- →Generating SaaS templates
- →Creating local business websites (e.g., restaurant templates)
- →Building blogs and news sites
- →Developing mobile app landing pages
- →Creating chatbots
- →Prototype new product features
- →Test designs with customers
- →Build design-system-consistent mockups
- →Developers who want an AI-assisted terminal for daily coding
- →Teams orchestrating multiple coding agents (Claude Code, Codex) together
- →Engineering orgs needing governance over agent-driven development
- →Companies moving agent workflows from local machines to the cloud
- →Prototyping an AI workflow quickly
- →Sharing a custom AI mini-app
- →Automating a task with chained prompts
- →Source code management
- →CI/CD automation
- →Team code review
- →DevOps for Jira-based teams
