Monthly Archive

Kepler ADE Tutorial #7 | Bring Any Agent or Model

Sep 8, 2026 By GitKraken In GitKraken

In Kepler ADE by GitKraken, you can connect and use whichever AI coding agents fit your workflow. This video shows how to configure agents, set defaults, manage multiple accounts, and run parallel sessions.

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What to Know About AI Code-to-Merge Platforms

Sep 3, 2026 By Jade Nangah In GitKraken

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 follows: reviewing, iterating, and merging. AI code-to-merge platforms are the category of tools built to manage that entire lifecycle, from the moment an agent starts working to the moment code lands in your main branch. This article walks through ten questions you should ask before committing to a platform.

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We Benchmarked AI Models on Git Tasks. Results Surprised Us

Sep 3, 2026 By GitKraken In GitKraken

Most AI model benchmarks measure general coding ability or reasoning. GitBench, built by GitKraken developer advocate Chris Griffing, measures something narrower and more practical: how well a given AI model handles specific Git tasks, starting with commit squashing, identifying which commits in a messy history should be combined into one clean commit.

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Can You Prove Your AI Agents Are Paying Off? Most Developers Can't

Sep 2, 2026 By Jade Nangah In GitKraken

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 or your team? Only 24% said yes. The other 76% were guessing, unsure, or already suspicious that agents are costing more than they’re saving. That gap between adoption and proof is the real story in agentic development right now. Teams aren’t behind on running agents. They’re behind on knowing whether it’s working.