Pythagora AI

• Automated Code Generation

  Example

  Pythagora can automatically generate a Custom User Management Tool in under 8 hours.

  Scenario

  Developers looking to build an internal tool can use Pythagora to define the app’s requirements and let the AI write modular, production-ready code without manual intervention.

• Automated Debugging and Error Fixing

  Example

  Pythagora uses advanced debugging techniques to fix issues in your SQLite database.

  Scenario

  If a bug arises during development, Pythagora autonomously reads terminal logs, identifies the error, and proposes solutions—speeding up the debugging process and ensuring seamless app functionality.

• Automated Testing

  Example

  Pythagora writes and runs automated tests to scale a web app effortlessly.

  Scenario

  A development team working on a large-scale application can rely on Pythagora to write comprehensive automated tests, ensuring that the app remains reliable and scalable over time.

• 1

  Step 1: Define App Requirements

  Interact with Pythagora by defining the specifications of your application, including features, technologies, and architecture.

• 2

  Step 2: AI-Driven Code Generation

  Allow Pythagora to generate and write the code for your project, handling tasks such as database querying, frontend development, and more.

• 3

  Step 3: Testing and Deployment

  Pythagora will help with testing, debugging, and fixing any issues before automatically deploying the app to the cloud.

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