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What does it do?

  • Software Development
  • Code Generation
  • Debugging
  • Error Handling
  • Version Control

How is it used?

  • Install as VS Code extension
  • input via natural language.
  • 1. Install VS Code extension
  • 2. Describe app & generate code
  • 3. Debug w/ terminal error messages
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Who is it good for?

  • Software Developers
  • Experienced Developers
  • Junior Developers
  • VS Code Users
  • Git Users

What does it cost?

  • Pricing model : Unknown

Details & Features

  • Made By

    Pythagora
  • Released On

    2023-05-16

Pythagora is an AI-powered development tool that simplifies and accelerates software application creation. Operating as a Visual Studio Code extension, it utilizes advanced generative AI models to assist developers in creating, debugging, and deploying applications with minimal manual intervention.

Key features:

- Code Generation: Writes production-ready, modular code based on user input, significantly reducing application development time.
- Error Handling and Debugging: Reads terminal outputs to catch errors, identifies bugs, proposes solutions, and implements fixes autonomously.
- Conversational Interface: Allows users to interact with the tool through natural language, asking clarifying questions when needed and guiding users through the development process.
- Code Review and Feedback: Requests user feedback and code reviews to ensure generated code meets required standards.
- Version Control: Tracks the entire codebase using Git, ensuring all changes are documented and reversible.
- Code Chat: Enables users to interact with their codebase through a chat interface, facilitating easier understanding and modification of existing code.
- Prompt Lab: Provides a tool for testing and iterating on large language model prompts, allowing developers to create, save, and load LLM conversations.
- Star History: Offers a utility for tracking and comparing star count changes of GitHub repositories over time.

How it works:

1. Users install the VS Code extension.
2. Developers interact with the tool using natural language.
3. Pythagora generates code based on user input.
4. The tool asks for clarification or feedback when needed.
5. Pythagora handles code generation, error handling, and debugging.

Integrations:

Visual Studio Code, Git

Use of AI:

Pythagora leverages advanced generative AI models to understand natural language inputs, generate high-quality code, and perform complex debugging tasks. It uses AI to interpret user requirements, create appropriate code structures, and identify and resolve errors in the development process.

AI foundation model:

Pythagora is powered by GPT Pilot and GPT-4, which are among the most advanced generative AI models available. These models enable the tool to process and respond to natural language inputs effectively, generate code, and perform sophisticated debugging tasks.

Target users:

- Junior Developers: Simplifies the development process, helping less experienced developers quickly become proficient.
- Experienced Developers: Accelerates the development process, allowing focus on higher-level design and architecture tasks.

How to access:

Pythagora is available as a Visual Studio Code extension. Users can install it directly within their VS Code environment.

Upcoming features:

- Automated Testing: Pythagora will be able to write automated tests to ensure the scalability and reliability of applications.
- Deployment: Users will be able to deploy and host their applications online with a single click.

Company information:

Pythagora is a proprietary software backed by Combinator, indicating strong support in the developer tools market.

  • Supported ecosystems
    Visual Studio Code, Microsoft
  • What does it do?
    Software Development, Code Generation, Debugging, Error Handling, Version Control
  • Who is it good for?
    Software Developers, Experienced Developers, Junior Developers, VS Code Users, Git Users

PRICING

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Pricing model: Unknown

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