How to Orchestrate a Better Agentic Workflow

We’re all being asked to do more with AI coding agents. Run them longer. Give them more work. Keep more tasks moving in parallel.

But what happens when you’re running three, five, or more agents at once?

The productivity upside grows. So does the cognitive load. Suddenly, the challenge isn’t getting agents to work. It’s keeping all that work visible, coordinated, and moving in the right direction.

In this session, we’ll show how GitKraken Insights for Developers and Kepler help you get the visibility you need to understand what your agents are doing, and enough structure to manage that work without becoming the bottleneck yourself.

With GitKraken Insights for Developers, you can see how AI is actually showing up in your development workflow: which models and skills are getting used, where tokens are going, how much autonomy your agents have, and where there’s room to improve.

Then with Kepler, you can put that visibility to work by planning, running, and reviewing multiple agent sessions in parallel, while keeping everything connected to the repos, issues, and pull requests you’re already working on.

The goal isn’t just to run more agents. It’s to make it easier to see what they’re doing, coordinate the work across them, and keep improving the way you build with AI.