AI coding agents

JetBrains has introduced Air, described by the company as a system of products for agentic software development, where AI agents take on coding tasks. The announcement has drawn attention from developers discussing how the IDE maker plans to position itself as AI-driven development reshapes programming tools.

Developers working with AI agents are separating an agent's decision-making logic from the component that generates code or text, a pattern being discussed under the name Jev. The split lets a reasoning model plan while a writing model executes, and people in the field are debating whether this two-brain architecture improves reliability or just adds complexity to agent workflows.

Engineering teams using AI coding agents are finding that continuous integration pipelines have become their biggest constraint, according to a report circulating among developers. As agents generate far more code and commits than human programmers, test suites and CI infrastructure struggle to keep up, forcing teams to rethink how they validate machine-written code at scale.