Cloud coding agents start each task on a fresh machine. Before the agent can run a single test, something has to install the right runtime and start the database, and every platform wants those instructions in its own file. Copilot runs a setup workflow; Cursor builds a Dockerfile. A team that uses two or three agents writes the same setup two or three times, and a mistake usually shows up later as an agent session that goes nowhere.

The “type a prompt, get a pretty landing page” phase is finished. In 2026 these tools build applications that actually work: authentication, databases, APIs, payments, deployment, usually in a single sitting. That part is genuinely impressive and I’ve stopped being cynical about it.

What I keep running into is the second half. The first version arrives fast. Then you want to change something, and the platforms start behaving very differently from each other. That’s the thing worth judging them on. Not who wins the demo. Who’s still useful on day forty.

Not dead — but under serious pressure, and some of its foundational assumptions are eroding fast.

Agile was designed around the scarcity of working software. Writing code is slow, human attention is finite, and iteration is expensive. Its rituals — sprints, standups, story points, velocity tracking — exist to manage that scarcity. AI coding assistants like GitHub Copilot, Cursor, and Claude Code dramatically compress the time from intent to working code. When a sprint’s worth of boilerplate takes an afternoon, the sprint cadence starts to feel like bureaucracy.