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Devv currently centers on an AI programming agent, enabling users to build web applications with integrated features such as authentication, databases, large language models, and image generation—all via natural language. It is aimed at independent creators and small teams; the original Devv Search remains available through a separate entry point.

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What is Devv?

Devv combines idea description, code generation, and backend integration to explore AI-powered web products. The current homepage features a requirements input area, a public‑visibility toggle, and an Integration section, while also showcasing community projects for reference.

The official documentation outlines native integrations for identity authentication, databases, large models, and image generation, as well as the corresponding third-party service roadmap. Users can iteratively refine features around the prototype, with access to both the legacy search product and the current programming product via separate entry points.

After the application is generated, you must still verify data permissions, authentication workflows, model costs, and critical operations, and conduct real-world testing. Publicly available use cases do not constitute proof that deployment has been completed in this round; the default public‑access option should also be confirmed before submitting your requirements. Subscription and integration quotas that have not been verified will not be listed as unlimited and free.

Key features

  • Building Natural Language AI Applications

  • Code and backend integration

  • Identity Authentication and Database Routing

  • Model and Image Generation Integration

  • Community Projects and Independent Search Entry Point

Use cases and audience

Independent developers, product creators, and small teams

  • AI Web Product Prototype
  • Exploring Features for Small Teams
  • Website development with model capabilities
Input

Application requirements, interaction specifications, and integration requirements

Output

Web application code, preview, and corresponding integration projects

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