Thoughts on engineering culture, collaboration, theory, practice and a changing technology landscape.
Since 2025 some articles say AI is wiping out entry-level developer jobs and others say the opposite. This post lays the numbers side by side, explains why they disagree, gives six questions for reading any figure, and lists what a newcomer can do whichever side is right.
When an AI tool answers wrongly or breaks something, who carries it? This reflection goes through two real cases (Air Canada and Mata v. Avianca), draws a simple map of responsibility, and suggests five things a team can do now so that nobody blames the machine.
AI writes code faster, so many ask where the creative part of programming has gone. This reflection splits a developer's work into five layers, looks at which AI takes and which remain, sets it beside figures on enjoyment, skill and productivity, and names the risks and habits for keeping the craft.
Six eras of software development, from doorstop manuals and Stack Overflow to AI agents: how developers worked, where the bottleneck sat, and which skills to prepare for 2027–2030+.