Agent-Native Engineering.

Agent-native engineering is a new operating model for software teams. Instead of treating AI as a faster autocomplete tool, teams restructure work around agents that can take on scoped tasks, open pull requests, iterate on feedback, and keep moving while engineers focus on higher-leverage judgment.

The shift started with background coding agents. Once engineers could hand off lower-level work asynchronously, the shape of the team changed: one person could manage parallel work streams, review more output, and spend more time deciding what should be built next.

Giving engineers coding agents is not enough. The organization has to be built around agents as contributors.

The new engineering workflow

• Simple tasks should be one-shotted by agents from a clear prompt
• Manageable tasks should be delegated to background agents with review cycles
• Complex tasks stay with engineers using synchronous coding agents
• Rules, tests, linters, and review bots become the quality system around the agents

As agents improve, engineers spend less time typing code and more time scoping problems, reviewing work, shaping product, and creating the conditions for useful delegation.