This article explains why project scoping, architecture, testing, and human oversight remain essential, even as AI changes how software gets built.

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Code.org founder and chairman Hadi Partovi on why computer science is a liberal art and software engineering is not dead yet.

The discipline of software engineering is undergoing a foundational re-architecting, driven by the rise of autonomous AI agents. Such a transformation is not incremental; it redefines the engineer's very identity by elevating the role from coding (a cognitive task being automated) to orchestration (a strategic,

Want to write software, but haven’t got the first clue where to start? Enter “vibe coding”, a term that has swept the internet to describe the use of AI tools, including large language models (LLMs) like ChatGPT, to generate computer code even if you ...

Every major leap in software raised our level of abstraction — from punch cards to high-level programming languages, from hardware to cloud. AI is the next step. Our engineers now work at a meta-layer: Orchestrating AI workflows, tuning agentic instructions and skills, and defining guardrails. The machines build; the humans decide what and why.

Rohan Gore, an engineer at a market research firm, says he still feels useful, but has concerns about the future of the job.

For decades, building software required significant cost. You needed people and process. You needed tools, infrastructure, sprint cycles, coordination plus capital, structure, and distribution plans.