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Pythagora

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Creates automated integration tests from server activity.
Generated by ChatGPT

Pythagora is a development tool known for simplifying the process of application development. Its primary function is to enable the construction of apps from scratch, through an interactive approach that involves dialogues with users.

This tool works in conjunction with the user, breaking down application specifications on a document, and actively partaking in project architecture, definition of requirements, selection of technologies, backend architecture and more.

Working on a feature-to-feature basis, Pythagora writes code for each task, implements the code, and reviews it, assuring code quality. With its troubleshooter agent, it understands problematic scenarios and works towards rectification.

Pythagora is designed to test applications, and seeks user feedback for the test results. It's a Visual Studio (VS) Code extension, powered by Generative Pre-trained Transformer (GPT) Pilot, identified as a powerful code generation tool.

Pythagora is capable of reading the terminal to catch errors, identifying bugs, proposing and implementing solutions, and fixing its own code if necessary.

It uses version control, tracking the entire codebase effectively with git. Upcoming features include cloud deployment of applications and automated testing.

Furthermore, it has a straightforward operational mechanism, only requiring users to carry out conversations with it, making it user-friendly and efficient.

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Pythagora was manually vetted by our editorial team and was first featured on April 5th 2023.
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Pros and Cons

Pros

No code writing required
Simple installation with npm
Quickly creates API tests
Restores server state for tests
Saves all server activity
Temporary database usage for tests
Enables tests on any environment
Automates creation of negative tests
Uses GPT-4 for test creation
Achieves high code coverage quickly
Free developers from writing tests
Swift code coverage report
Tests created per API request
Preserves local database
Handles varied API requests

Cons

Requires npm installation
Relies on temporary database
Limited to server testing
Automation may miss details
Assumes consistent server state
Lack of customization options
Limited direct user control
Dependency on GPT-4
Might bloat database
Possible version mismatch

Q&A

What is Pythagora?
How does Pythagora work?
How can I install Pythagora?
Do I need to write any code when using Pythagora?
How does Pythagora test each API request?
How does Pythagora capture server activity?
What happens during Pythagora's test process?
How does Pythagora restore server state during testing?
What information does Pythagora save?
How does Pythagora use a temporary database in its testing process?
How does Pythagora assist developers in creating negative tests?
How is GPT-4 integrated into Pythagora?
What was achieved with GPT-4 in the closed beta testing phase?
How is Pythagora different from other testing tools?
Can Pythagora run tests in any environment?
How can Pythagora increase code coverage in a short amount of time?
Is it possible to use Pythagora without affecting my local database?
Does Pythagora work with frontend, Postman, Curl etc.?
How can developers benefit from using Pythagora?
Why is Pythagora described as 'super easy' to use?
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