Software Architecture

Explore effective strategies for ensuring engineering quality and code ownership in the age of AI, balancing automated productivity with the necessity for human understanding and accountability.

Recent Claude outages exposed developer reliance on AI coding assistants. Learn how to architect resilient development workflows using multi-provider strategies, local LLMs, and alternative AI tools to ensure continuity.

Explore how AI is changing software development, from the debate on code understanding to practical strategies for leveraging AI while maintaining quality. Discover why developing a strong mental model of your codebase and robust validation techniques are more critical than ever for architects and developers.

As AI-assisted coding becomes more common, developers worry about skill loss. Discover practical strategies for deliberate practice, critical AI engagement, and evolving your expertise in architecture and agent wrangling to stay relevant in the new programming landscape.

Discover how developers are leveraging AI to boost productivity, automate code generation, and ensure quality through advanced testing strategies and high-level specification. Explore tips for rapid prototyping and adopting new tech stacks with AI assistance.

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.

Explore the fascinating elements that have defied change over the past decade, from foundational software concepts and daily rituals to the enduring aspects of human behavior and societal structures. Discover the subtle differences between superficial updates and fundamental transformations.

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 a nuanced discussion on learning software design, covering the limits of reading code, the importance of hands-on experience, and a curated list of exemplary codebases and resources.

Explore strategies used by software engineers to combat skill atrophy and stay relevant, from building side projects to focusing on health, soft skills, and financial security.