Explores how software architecture principles for human cognition, like fractal design, could improve AI's ability to work with large codebases.
A developer shares key lessons from one month of AI-powered app development, focusing on the pitfalls of speed and the importance of maintaining control and code quality.
Martin Fowler's blog fragments discuss AI/works™ platform, AI electricity consumption, and the need for rigor in AI-enabled software development.
Argues that ugly, legacy code can hold valuable domain knowledge and be more practical to refactor than to rewrite from scratch.
A developer's reflection on the psychological impact and community effects of over-reliance on AI coding assistants, likening them to personal daemons.
Explores how AI prompts have evolved from simple text strings into critical, reusable system components with logic, and the challenges this creates.
A developer shares their Java solutions for Advent of Code 2025 puzzles, focusing on code clarity and using Java 25 features.
A summary of recent tech articles discussing AI's impact on code quality, AI-assisted healthcare, security risks, and developer productivity.
A developer reflects on the balance between concise and clear code, arguing that too little code can be as harmful as too much.
Explores how people and team ownership, not just technical patterns, are key to untangling and preventing messy 'ball of mud' software architecture.
A developer discusses the dangers of assuming code won't change or be misunderstood, advocating for defensive programming practices.
Explores how tech debt in infrastructure code creates a self-perpetuating 'flywheel' effect, making it extremely costly and difficult to fix.
Discusses the risks of suppressing lint rules in code and proposes a meta-lint rule to prevent suppressing critical rules.
Explores how Conway's Law influences software architecture, comparing solo development to collaborative teamwork and its impact on code structure.
The article critiques the DRY principle, explaining how its overzealous application can lead to complex, hard-to-maintain code and bad abstractions.
Explores how AI tools like GitHub Copilot are transforming software development by automating tasks, improving debugging, and enhancing code quality.
A developer draws parallels between physical clutter and technical debt, advocating for regular 'code cleaning' sessions to improve team happiness and productivity.
The article explains the true meaning of 'refactoring' in software development and argues for its proper use to avoid client misunderstandings.
A developer explores adapting coding styles to different situations, inspired by the 'Six Thinking Hats' framework.
A guide to integrating JetBrains Qodana, a code quality analysis tool, into GitLab CI/CD pipelines and publishing its reports via GitLab Pages.
