More Agents. Less Guesswork.

AI agents help you move faster. But as you add more agents, models, and parallel work, a new set of questions comes with them. What’s actually helping? Where are you spending time and tokens? Which models and skills are over or underperforming? And how do you keep multiple agent sessions moving without adding more complexity?

Join us for another deep dive into GitKraken Insights for Developers and Kepler. We’ll share the latest updates, shaped by your feedback, and show how they work together to help you:

• Understand what’s working. Get a personal view of how AI is affecting your workflow: adoption, autonomy, cost, and outcomes, benchmarked against your org. See which models and skills pay off, how ready your repos are for agents, and where a coaching nudge can help you improve.
• Put those insights into action. Plan, run, and review work across parallel agent sessions in Kepler, using any agent and any model, scoped to the repos, issues, and PRs you’re working on, while staying in control of what happens next.

Together, Insights for Developers and Kepler help you move from simply using AI agents to running an agentic workflow you can understand, manage, and improve.