Explore the enduring debate on code comments. Discover why effective comments explaining the "why" behind code decisions are essential for maintainable software, offering crucial context for developers revisiting projects.
Explore diverse definitions of legacy code, from its practical challenges like missing tests and lost knowledge to actionable strategies for working effectively with older codebases.
Discover practical strategies for tackling colossal, AI-generated "vibe-coded" pull requests, from effective rejection tactics to collaborative review methods. Learn how to maintain code quality and developer sanity amidst the push for AI-driven velocity.
The rapid integration of AI into software development is reshaping roles and raising concerns about job security and code quality. Discover strategies for developers to adapt, reskill, and thrive amidst these transformative changes.
For software engineers, understanding when to build from scratch and when to use AI is crucial. This article provides a strategic approach to integrating AI tools while mastering core development skills to build robust and maintainable projects.
Explore the challenges and productive uses of AI in software development, from managing low-quality generated code to leveraging LLMs for TDD and workflow optimization. Discover how developers are adapting to maintain code quality and boost productivity with AI tools.
Discover common developer experiences with AI coding assistants and learn key strategies to significantly improve the acceptance rate of code suggestions. Master the art of prompting and iterative refinement to get production-ready code faster.
Explore the challenges and solutions for transforming rapid AI prototypes into stable, production-ready applications. Learn about pricing, scope management, and targeting the right audience when building a service for "vibe-coded" projects.
An analysis of whether startups can be successfully built using AI 'vibe coding'. We explore the current limitations at scale, practical workflows for developers, and the rise of AI-generated 'slop apps' tied to course-selling.
An analysis of why many skilled software developers are hesitant to adopt AI coding assistants, citing concerns over code quality, long-term maintainability, and the nature of their work.