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Open-source, agent-first admin-panel framework for Vue3/Node.js with auth, plugins and AI features to build back-office panels fast.
Open-source AI coding assistant offering autocomplete and chat in IDEs; the company was acquired by Cursor.
AI-powered visual and functional test-automation platform for cross-browser, component, and accessibility testing.
Google Labs experiment for building and sharing AI mini-apps from natural-language prompts, no coding required.
Side-by-side arena to compare AI coding models and build multi-file apps, with a public leaderboard and battle mode.
No public pricing
No public pricing
No public pricing
Free trial available
No public pricing
No public pricing
- ✦CRUD admin panel from a database URL
- ✦Vue3 components and Tailwind theming with dark mode
- ✦Auth plugins: OAuth2/SSO, TOTP/WebAuthn 2FA
- ✦Audit log, S3 upload and CSV import/export plugins
- ✦AI plugins for autocomplete, translation and bulk data
- ✦Custom pages, dashboards and background jobs
- ✦Open-source AI code assistant
- ✦Customizable autocomplete
- ✦In-editor AI chat
- ✦Community-built coding agent
- ✦Visual AI UI validation
- ✦Cross-browser and cross-device testing
- ✦Component and accessibility testing
- ✦Codeless recorder and NLP test builder
- ✦Test orchestration and self-healing tests
- ✦Root-cause analysis and automated maintenance
- ✦Build AI mini-apps from natural-language prompts
- ✦Visual editor for prompt/tool workflows
- ✦Share created apps with others
- ✦No-code AI app prototyping
- ✦Head-to-head model comparison
- ✦Battle mode matchups
- ✦Public model leaderboard
- ✦Multi-file app generation
- ✦File uploads as input
- →Developers building internal back-office tools
- →Adding an admin panel to an existing database
- →Creating AI/agent-assisted back-office workflows
- →Self-hosting a customizable admin UI
- →Get AI code completions while coding
- →Ask questions about code in the editor
- →Build on an open-source coding-agent foundation
- →Catch visual UI regressions
- →Automate cross-browser testing
- →Scale QA across large test suites
- →Run accessibility checks
- →Prototyping an AI workflow quickly
- →Sharing a custom AI mini-app
- →Automating a task with chained prompts
- →Choosing the best coding model
- →Benchmarking AI code quality
- →Prototyping small apps