Content to read to assimilate the basics of software development but also to follow and understand the trends.
Basic Knowledge
The Evolution of Git Workflows in Enterprise Environments The world of software development is in constant motion, and version control systems have had to adapt. This has led to a significant shift in how teams, especially larger ones, manage their Git workflows. In the early 2010s, the Gitflow workflow, introduced
Basic Knowledge
The Hidden Obstacles Crushing Your Developer Productivity Every software development team aims for maximum productivity. However, hidden obstacles often stand in the way of real progress. These unseen roadblocks can significantly drain a team's energy and impact their output. Understanding these hidden productivity killers is the first step
Basic Knowledge
Elevate Your Code Review Game Effective pull request (PR) best practices are crucial for high-quality code and efficient development. This listicle presents eight key pull request best practices to streamline your code review workflow. Learn how to create focused PRs, write clear descriptions, integrate automated testing, use checklists, leverage draft
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