Prove Your AI Gains, Then Improve Them | GitKraken Workshop

Everyone feels faster with AI, but almost nobody can prove it. In this hands-on GitKraken workshop, Jeremy Castile, Scott Ferguson, and Justin Roberts show you how to get a real read on your AI agents: what they actually cost, what they produce, and whether they’re making your team faster, then how to take that data and improve it.

You’ll see how to read an agentic workflow across adoption, autonomy, activity, cost, and outcomes in real time, how to spot where you’re overspending, and how to run and right-size multiple agents so you scale your agent work without scaling the bill.

What you’ll learn:

• Why code creation has accelerated while visibility hasn’t, and the measurement gap it created
• How to measure what your AI tools and agents are really delivering with GitKraken Insights for Developers
• How to plan, run, and review multiple agents in parallel with Kepler
• How to close the loop so your gains compound over time

Try it yourself (both are self-serve):

• Insights Test Drive (pre-loaded with real data, just add your email): https://demo.gitkraken.dev
• Kepler (free download): https://gitkraken.com/kepler
• Roll it out to your team: https://gitkraken.com/insights
• The research behind it (State of AI in Engineering report): https://gitkraken.com/reports/state-of-ai