JetBrains

"Just because you can build 100 things doesn't mean you should. People can't consume that much." That's a platform engineer at a large networking vendor where everyone uses coding agents daily. Implementation got cheap. Review and delivery didn't. Over the past few months I've been on discovery calls with engineering orgs, from game studios to telcos and consultancy firms with thousands of engineers. Almost nobody asks whether to use agents anymore. The question is why individual speed isn't turning into team speed. Three patterns came up again and again: 1. Everyone has an agent. Nobody shares the setup. 2. Implementation got cheap. Review didn't. 3. Automating the boring work creates a new operational burden. Last week we launched JetBrains Air Teams around exactly these gaps. In this series I'll walk through each pattern in the teams' own words and show how we're approaching it. Part 1 is live: https://lnkd.in/efn-Apb3

With JetBrains code intelligence, agents get precise answers, which means they don’t scan the whole codebase and use fewer tokens for the same work.

Your team picks the agents and models. When something better ships, they switch – and the same code intelligence keeps working.

Your team runs several agents at once, sees what each one changed, and verifies the code before anything merges – all in one place.

Build and run your course inside the IDE. Ready-made templates, auto-checked assignments, hints and feedback – all in one place.

Teach with the tools your students will use in their careers. Free JetBrains IDEs for you and your class, in-IDE course creation, and AI you control.