Удобный Ansible - Эффективная Структура и Организация Репозиториев
Discover effective Ansible repository structuring, project organization, and best practices for roles, collections, and code formatting while learning essential tools like ghorg and ansible-lint.
Kill All Mutants! Introduction to Mutation Testing - Code BEAM Europe 2022
Explore mutation testing to enhance test suites and code quality. Learn its benefits, drawbacks, implementation, and tools for various languages. Gain insights to improve testing practices and code reliability.
TypeCheck - Effortless Runtime Type Checking
Explore runtime type-checking in Elixir with TypeCheck library. Learn its benefits, implementation, and advanced features for improved code clarity and resilience.
Bringing Types to Elixir - Set-Theoretic Types for Elixir Programs
Explore set-theoretic types and their potential for Elixir programming, including bug detection and code quality feedback. Learn about a type system tailored for Elixir's unique features.
Road to Zero Lint Failures: Tackling Code Quality Challenges at Scale
Discover strategies for improving code quality at scale, focusing on eliminating lint failures through automated processes, incentives, and team-based approaches.
Falling in Love with Unit Testing
Discover the power of unit testing in software development. Learn key concepts, best practices, and implementation techniques to enhance code quality and reliability.
Ways to Realistically Prioritize Code Quality for Engineering Teams
Explore strategies for prioritizing code quality in engineering teams, focusing on communication, incentives, and practical techniques for busy developers.
Start Strong! Setting Up Python Projects for Success
Découvrez des outils et techniques pour démarrer efficacement vos projets Python, de la configuration à la gestion des dépendances, en passant par les tests et l'intégration continue.
"Don't Touch!" the Code and How to Touch It Again
Explore strategies for safely modifying legacy code, overcoming fear and uncertainty to improve and maintain critical systems effectively.
Your Tests Are Code, Too!
Discover best practices for writing maintainable and effective test code, improving overall software quality and development efficiency.
From Chaos to Quality: Elevating LitmusChaos with CI/CD and Pull Requests
Explore how LitmusChaos integrated CI/CD practices and pull requests to enhance code quality in chaos engineering. Learn strategies for improving development workflows and applying these principles to your projects.
Pushing to Master - Adopting Trunk Based Development
Explore trunk-based development's benefits, challenges, and adoption strategies for higher quality code and faster delivery in Ruby projects.
Best Practices in Scala Programming
Master Scala programming with functional concepts, immutable structures, and efficient coding techniques for robust, maintainable software development.
AWS AI Services Transforming DevSecOps - Amazon Q Insights
Explore how AWS AI services like CodeGuru, Amazon Q, and GuardDuty revolutionize DevSecOps, enhancing code quality, extracting insights, and bolstering security in AWS environments.
Why Data Scientists Should Learn Software Engineering Principles
Learn essential software engineering principles for data scientists to improve code quality, modularity, and readability. Enhance project scalability and model deployment capabilities.
Typical C++ - Leveraging the Type System for Better Code
Explore how leveraging C++'s type system strengths improves code quality, prevents errors, enhances readability, and reduces risks during modifications.
Why Clean Code Is Not the Norm
Explore why clean code remains uncommon, debunk misconceptions, and learn strategies to promote better coding practices in software development.
How to Fall in Love with Test-Driven Development
Discover the journey to mastering Test-Driven Development, debunking misconceptions and learning effective practices to enhance your software development skills and productivity.
Refactoring vs Refuctoring: Code Quality in the AI Age
Explore AI's impact on code quality, potential pitfalls of AI-assisted development, and strategies for leveraging AI to produce trustworthy software in the evolving landscape of software engineering.
Conquering Complexity: Refactoring JavaScript Projects
Discover techniques to identify and reduce complexity in JavaScript projects through refactoring, using cognitive complexity as a measure and exploring helpful tools for streamlined code.
Refactoring in Angular - Ensuring Quality Through Modularity, Metrics, and Testing
Explore effective Angular refactoring strategies focusing on modularization, metrics, and testing to maintain clean, maintainable code and ensure functionality during improvements.