Explore why modern software development projects often face delays despite growing teams, examining the impact of over-engineering, evolving team roles, and the compelling debate around licensing software engineers.
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.
Will AI eliminate programming jobs? A deep dive into why the role is more likely to evolve towards engineering oversight, verification, and system design, rather than disappear.
Discover how software engineers can prepare for layoffs and stay competitive in the age of AI. Learn why focusing on soft skills, networking, and financial health is more critical than ever.
Discover viable and lucrative career paths for pure mathematics graduates, from software engineering and quantitative finance to bioinformatics and the gambling industry. Learn how to leverage your analytical skills for a successful career outside of academia.
An analysis of how software engineers are truly feeling about AI tools, exploring the deep divide between reported productivity boosts and the frustrating reality of debugging AI-generated 'slop'.
Discover the most impactful skills for career growth in tech, from foundational knowledge like networking and Git to critical soft skills like public speaking and pattern recognition.
The term 'vibe coding' has emerged to describe AI-assisted programming, but what does it really mean? Explore the debate between relying on AI intuition and using structured, specification-driven approaches for maximum productivity.
Experienced software engineers discuss the real impact of AI on their careers, offering practical advice on how to adapt, specialize, and find meaning beyond the hype.
Developers debate the C programming language, weighing its unparalleled control and proximity to hardware against its notorious lack of safety and the modern alternatives that prioritize productivity and security.