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DORA metrics in the AI era reveal a paradox: PR volume is climbing, but deployment frequency is staying flat. In this talk, GitKraken's Director of Product Jeff Schinella breaks down why AI-accelerated code generation is creating a review bottleneck that your DORA metrics can't fully explain on their own. Jeff walks through how PR metrics (cycle time, first response time, code churn, and PR size) serve as the leading indicators behind your DORA data. If your deployment frequency is flat while PR counts go up, the bottleneck isn't your devs. It's your review capacity.

The fastest way to get up and running in GitKraken Desktop. In this tutorial, you'll open a repo, start an AI coding agent in its own worktree, review the agent's changes against your own work, and ship a pull request without leaving the app. What you'll learn: Chapters Help Center: help.gitkraken.com.

AI adoption is nearly universal. So why are most teams still struggling? In this session from GitKon, Nathen Harvey, head of DORA at Google Cloud, shares findings from the 2025 DORA State of AI-Assisted Software Development report, drawing on data from nearly 5,000 developers worldwide. The answer isn't more AI. It's what surrounds it.

Responsible AI adoption for engineering teams starts with culture, not compliance. In this GitKon talk, Rizel Scarlett (Tech Lead of Open Source DevRel at Block) shares how Block helped thousands of engineers actually want to use AI tools, including Goose, Cursor, Claude Code, and more, without mandates, vibe coding disasters, or security gaps.

In this video, Fabrizia Rossano and Roberto Jiménez demonstrate Git Sync, a feature that provides you with the power of Git version control right in your Grafana instance. Git Sync enables you to submit changes in your dashboards as pull requests and get them reviewed by your team directly from Grafana or from Git.

AI adoption is up. Developer confidence is up. So why is code duplication up 10x since 2022? GitKraken VP of Developer Research Jeremy Castile shares the frameworks we built after analyzing 211 million lines of code and talking to hundreds of engineering teams. This is the playbook version of the research — practical, not theoretical. In this session, you'll learn: The gap between how productive developers feel and what's actually happening in the codebase is real. If you can't measure it, you're just guessing. Nobody wants to be guessing with this stuff.

If you're running Claude Code, Codex, or Gemini, managing multiple sessions means one terminal per agent, status checks by window-switching, and worktree setup from scratch every time. GitKraken Desktop 12.0 adds structure to that workflow. What's new: Works with Claude Code, Codex CLI, Copilot CLI, Gemini CLI, and OpenCode.

AI adoption is already happening on your team, whether you have a strategy or not. Tracy Lee (CEO of This Dot Labs, Microsoft MVP, Google Developer Expert) breaks down the AI Enablement Flywheel — a 6-pillar framework used by successful engineering organizations to move from scattered experimentation to scalable, ROI-positive AI workflows.