Our system did one thing, and it did it well: It turned natural-language questions into API calls. The users were analysts, account managers, and operations leads. They knew what data they needed, but ...

AI-powered tools can help teams accelerate processes throughout the software development life cycle. Here’s how to make them work. If the supreme goal for software development teams is to get ...

Researchers found 15 malicious JetBrains plugins posing as AI coding tools that exfiltrate OpenAI, DeepSeek, and SiliconFlow ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Spencer Judge discusses the architectural ...

Spread the love“`html When it comes to developing and maintaining modern applications, API (Application Programming Interface) testing is a crucial aspect. One of the most popular tools for this ...

Spread the love“`html Stripe is a powerful platform that allows businesses to accept online payments seamlessly. However, before you launch your payment processing, it’s crucial to ensure everything ...

# Testability: It makes Unit Testing much easier by allowing us to "Mock" the repository. We can test logic without needing a real database connection. # Adhering to SOLID Principles: It strictly ...

- E2E tests: Cover critical journeys. Test signup, login, and checkout. Keep the list small. 5 to 10 tests are enough. Tests guide your design. Hard tests mean bad design. Fix the code, not the test.

Currently, our Python backend lacks unit tests. It is important to ensure our AI service and API endpoints are reliable. Requirements: Use pytest to write tests for backend endpoints. Test the ...

pytest Documentation — Test runner, fixtures, parametrize, and mock integration unittest.mock — Python Docs — MagicMock, patch, and side_effect for mocking LLM clients ...