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Secure Your Dev Team > Releasing the Power of Git
AI coding agents can generate pull requests at a pace your team has never seen. The bottleneck has shifted from writing code to everything that
We put a blunt question to developers on a recent live webinar: right now, could you actually prove AI agents are paying off for you
Your code review collaboration platform probably does a decent job showing diffs. But for distributed teams, the toughest problems rarely live inside the diff itself.
Running one coding agent is manageable. Running four of them across three repos, each at a different stage, each waiting on something different from you,
Giordano “Gyo” Piazza, GitKraken’s Director of Engineering, has spent the past month heads down on the next version of Kepler. When he got on a
Choosing a software engineering intelligence platform is one of those decisions that gets more complicated the longer you wait. The category has grown rapidly, and
Your code review tool does more than display diffs. It shapes how your team shares knowledge, catches bugs, and ships software. With AI-generated code accelerating
We hosted a live launch preview, “Level Up Your Agentic Workflow,” to introduce two things at once: GitKraken Insights for Developers and Kepler. Jeremy Castile,
What 554 developers and engineering leaders told us about AI, agents, and the measurement gap nobody’s closing. Ask a developer if AI made them faster
AI coding tools were supposed to mean developers work less. On a recent webinar recorded with LeadDev, senior engineering manager Vernon put words to something
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