Basic Knowledge
Mastering Pytest's Stdout Capture System Pytest offers a robust output capture system, a crucial tool for Python developers. This system provides valuable insights into your code's runtime behavior, significantly improving debugging and testing efficiency. By intelligently intercepting output streams, pytest offers a clear view of what&
Basic Knowledge
Understanding How Pytest Handles Print Output Pytest, the popular Python testing framework, handles print statements in a specific way, which is crucial for effective debugging. Understanding this behavior will help you interpret and utilize those helpful debug messages during your tests. Let's explore why your print statements might
Basic Knowledge
Demystifying Shift Left Testing: Breaking Down the Essentials Shift left testing fundamentally changes how we think about testing in the software development lifecycle (SDLC). Instead of testing being a final hurdle before release, shift left testing integrates it from the very start of development. This proactive approach aims to catch
You push a PR. CI kicks off. Ten minutes later, red. You check the logs. It’s a test that fails every now and then — you’ve seen it flake before. It times out, or throws a weird assertion. Maybe it’s infra. Maybe it’s racey. Maybe you don’
A few weeks ago, something broke in production. No big deal — we've all been there. I did what I’ve done hundreds of times before: Checked logs, wrote a patch, pushed to a new branch, and waited for CI. Except CI failed. Not because of my change, but
At Mergify, we’re growing. That means we’re hiring. And hiring means rejecting candidates—sometimes, a lot of them. It’s one of our hiring process's hardest and most uncomfortable parts. But it’s also one of the most important. Here’s how we do it, why
At Mergify, we merge more than 1M pull requests every year on behalf of our users. That’s not a brag about volume. That’s a statement of purpose. Because behind every single one of those pull requests, there’s one simple promise we’re keeping: 👉 Your CI will never
Python is a fantastic language for writing elegant and flexible wrappers around functions and classes. Wrapping functions is a common practice in software engineering—whether you’re abstracting a third-party library, simplifying a complex API, or just reducing boilerplate. However, blindly wrapping functions without proper type annotations is a dangerous
As we step into 2025, it’s time to reflect on an eventful and transformative 2024 at Mergify. It was a year filled with challenges, growth, and exciting new opportunities to better serve developers worldwide. Here's a look back at what we achieved, what we learned, and what&
Writing about continuous merge, software development, CI/CD and technical topics.
Level Up Your Python Testing Game Efficient testing is crucial for any successful software project. This listicle compares five prominent Python testing frameworks to help your team choose the right tool. Quickly evaluate the strengths and weaknesses of pytest vs unittest, nose2, doctest, and Robot Framework. These frameworks solve the
You push a PR. CI kicks off. Ten minutes later, red. You check the logs. It’s a test that fails every now and then — you’ve seen it flake before. It times out, or throws a weird assertion. Maybe it’s infra. Maybe it’s racey. Maybe you don’
Why Pytest Timeout Matters: Beyond Basic Test Efficiency Runaway tests can quietly drain your development resources and time. They stall pipelines and lead to team frustration. This is precisely where pytest timeout becomes essential. It acts as a safeguard, stopping tests from running endlessly and preventing bottlenecks in your workflow.
Why Python Parameterized Tests Transform Your Testing Traditional testing methods often involve creating individual test functions for each input. This quickly becomes unwieldy, leading to a large amount of duplicated code. Maintaining these sprawling test suites can be a real headache. This is where parameterized tests in Python offer a
Why Parameterized Testing Changes Everything Writing the same test with slight variations for different inputs can be tedious and error-prone. Parameterized testing tackles this by running one test logic across multiple scenarios. This approach cuts down on duplicated code and broadens your test coverage with minimal effort. Imagine validating email
The Power of Parameterized Python: Beyond Basic Code Parameterized Python isn't just about sprinkling variables throughout your functions. It's a fundamental shift in your coding approach, transforming static scripts into dynamic, reusable building blocks. Imagine LEGO bricks: instead of gluing them together for a single creation,
Why Python Parametrize Is Changing the Testing Game Writing repetitive tests is a familiar headache for developers. It's time-consuming, error-prone, and makes maintaining a large test suite a real challenge. This is where Python parametrize, and more specifically pytest.mark.parametrize, enters the scene. It offers a much-needed
Why Git Conflicts Happen (And Why You Should Care) Git conflicts are a common part of software development, especially when teams collaborate. They occur when multiple developers modify the same parts of a codebase, creating a merge conflict because Git can't automatically decide which changes should be prioritized.
A few weeks ago, something broke in production. No big deal — we've all been there. I did what I’ve done hundreds of times before: Checked logs, wrote a patch, pushed to a new branch, and waited for CI. Except CI failed. Not because of my change, but
Mastering Pytest Parametrize Fundamentals The pytest parametrize feature has become essential for effective Python testing. It allows developers to execute the same test logic with various input values using the @pytest.mark.parametrize decorator. This eliminates redundant code and transforms repetitive test suites into streamlined, maintainable code, a significant improvement
The Pytest Mock Advantage: Why Smart Developers Use It Behind every dependable Python application lies a solid testing strategy. A core element of this strategy is effective dependency isolation, and that's where pytest mock excels. The pytest-mock plugin offers a streamlined method for mocking objects and functions, simplifying
The Power of Python Fixtures: Transform Your Testing Approach Tired of repetitive test setups and tests that break easily? Many developers grapple with these common testing issues, impacting code quality and project timelines. Python fixtures, however, provide a robust solution for improving your testing approach and building more resilient, maintainable
