In 2026, the line between API specifications and executable code has blurred completely. Detailed specs now drive everything from documentation to testing to deployment. This article explores what this shift means for developers and how to leverage it effectively.
The rock-bottom prices of AI coding assistants in 2026 aren't sustainable. We explore why developers don't need to out-compete AI, but simply outlast the unsustainable business models propping up these tools.
After years of missed deadlines and scope creep, I adopted one simple rule: I never give estimates during calls. This single practice transformed how my team approaches project planning and delivery. Here's why it works and how you can implement it.
AI tools let anyone 'build' an app in hours, but engineering scalable systems remains fundamentally different. This article explores why the viral 'I built X in a weekend' posts miss the point about real software development.
In the fast-paced world of software development, a healthy dose of cynicism isn't just acceptable—it's essential. This article explores why questioning assumptions, doubting marketing claims, and maintaining skepticism leads to better systems, more reliable integrations, and sustainable engineering practices.
That awful banking website experience isn't unique. We explore why genuinely bad developers keep getting hired, the systemic failures in tech hiring, and what you can do to avoid becoming part of the problem.
In tech organizations, complex solutions often get rewarded while simple, elegant ones get overlooked. This article explores why this happens, the real costs of complexity, and how forward-thinking engineers are changing the promotion calculus in 2026.
Despite decades of progress, time handling in software remains fundamentally broken. The classic 'Falsehoods Programmers Believe About Time' is more relevant than ever in 2026's distributed systems landscape. This guide explores why these assumptions persist and how to build robust time-aware applications.
When a YouTuber can recreate your weeks-long project in hours using AI tools, it makes you question everything. But is vibe coding really replacing traditional development, or are we losing something essential in the process?
When a Python process runs 10,000 times daily, should you prioritize beautiful, maintainable code or raw performance? We break down the heated developer debate with real benchmarks, modern tooling, and practical compromise strategies.
A staggering 96% of engineers express skepticism about AI-generated code, yet nearly half don't verify it. This trust gap reveals critical challenges in AI adoption that every developer needs to understand and address in their workflow.
Seasoned developers are quietly abandoning once-sacred best practices like 100% test coverage and strict component purity. Discover which rules are worth breaking and how to focus on what actually delivers value in 2026's development landscape.