Content to read to assimilate the basics of software development but also to follow and understand the trends.
Basic Knowledge
The Current State of AI in DevOps The DevOps world is constantly evolving, and AI is playing an increasingly important role. Organizations are rapidly adopting AI-powered tools to tackle challenges such as manual bottlenecks, slow delivery pipelines, and poor cross-team collaboration. This isn't just a passing trend; it&
Basic Knowledge
The Hidden Power of PyTest Assert Pytest's simple assert statement is often the first encounter for new users. But this seemingly basic command has a powerful impact on testing efficiency. Instead of verbose, manual error messages, pytest uses introspection to analyze assertions and automatically generate detailed failure reports.
Basic Knowledge
What Is Pytest: The Testing Framework Developers Love Pytest has rapidly gained popularity among Python developers, becoming a beloved testing framework. Its clear syntax and powerful features transform the testing process into a smoother, more efficient experience. Many developers report a shift in perspective, moving from seeing testing as a
Basic Knowledge
Level Up Your Development with the Right Git Workflow Choosing the right Git workflow is crucial for efficient development. This listicle explores eight popular Git workflow best practices, including GitFlow, GitHub Flow, Trunk-Based Development, Forking Workflow, Feature Branch Workflow, Release Flow, Gitflow Avh Edition, and OneFlow. We'll cover
Basic Knowledge
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
Basic Knowledge
The Power of Pytest-Mock: Why Developers Are Switching Modern software development requires thorough testing. For Python developers, the pytest framework combined with the pytest-mock plugin has become a popular choice. This powerful plugin integrates seamlessly with pytest, providing a streamlined way to handle mocking. Mocking allows developers to isolate parts
Basic Knowledge
The Strategic Power of Targeted Test Execution Effective testing is crucial for robust software. As projects grow, running every single test can become a real time sink. That's where targeted test execution comes in. The ability to run only the tests you need with pytest transforms your workflow,
Basic Knowledge
The Evolution of Secure Code Integration Traditionally, security was an afterthought in the software development lifecycle (SDLC). This reactive approach meant vulnerabilities were often discovered late, leading to expensive fixes and project delays. The rise in sophisticated cyberattacks has changed this perspective. Secure code integration is now a critical business
Basic Knowledge
The Evolution of Automated Regression Testing The software development world has changed significantly over the last few decades. Early on, manual testing was the standard, a process often slow and prone to errors. This method struggled to handle the growing complexity of software and the demand for faster releases. This
Basic Knowledge
Your First Pytest Example: From Installation to Execution Getting started with pytest is remarkably straightforward. Begin by setting up your environment. This usually involves a quick installation using pip install pytest. Once installed, verify everything is working correctly with pytest --version. This command confirms pytest is ready to go and
Basic Knowledge
The Power of Strategic Test Skipping in Pytest Running every test, every time, can be inefficient. Strategic test skipping optimizes your testing workflow by selectively running tests based on specific conditions. This drastically reduces testing time and highlights critical areas needing immediate attention, focusing your efforts where they matter most.
Basic Knowledge
The Power of Pytest Fixtures: Why They Matter Imagine setting up a complex science experiment. You meticulously calibrate instruments, prepare solutions, and carefully control the environment. Repeating this for every single test would be incredibly tedious. That's where pytest fixtures come in. They're like your lab