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By Jade Nangah
A faster car doesn’t get you home faster if the freeway is still jammed. That is the problem most teams run into once they add a second, third, or fourth AI coding agent to the mix. More agents generate more code. They do not automatically generate more finished work, because someone still has to track which agent is waiting on input, which one just opened a pull request, and which one has been quietly stuck for twenty minutes. Kepler is GitKraken’s answer to that traffic jam.
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By Jade Nangah
Most PR descriptions leave out the one thing a reviewer actually needs: why the change was made. And AI review bots that live natively inside GitHub tend to solve that with noise instead, dropping comments a reviewer then has to sort through to find the two that matter.
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By GitKraken
If you haven’t heard about our MCP server, you should really check it out. It’s probably the best way to give your agents access to the power of GitKraken’s integrations and features. Our MCP tools also help your agents understand your codebase in a way that we think lowers your token usage and improves their output.
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By Jade Nangah
Five coding agents sounds like leverage right up until a developer is the one keeping track of all five: one fixing a bug, one building a feature, one refactoring, and two waiting on input at the same time. AI did not create that problem. It exposed a workflow problem that was always going to surface once parallel development became normal instead of occasional.
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By Jade Nangah
Before agents were part of the picture, GitKraken Desktop had one job: make Git make sense. Visualize the commit graph, show branches and remotes clearly, and let a developer feel confident hitting merge. That job has not changed. What changed in GitKraken Desktop 12 is what sits on top of it.
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By Chris Griffing
Recently, Google released a couple new Gemini models. They were Gemini 3.6 Flash, 3.5 Flash Lite, and 3.5 Flash Cyber. Many people on the internet roasted Gemini Flash and Flash Lite for their less-than-frontier performance. This makes sense when you consider that OpenAI and Anthropic have been sparring back and forth for first place for quite a while but Gemini almost never gets that first place position. After all, this is Google we are talking about.
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By Jade Nangah
We didn’t set out to build a new category of product. We set out to stop juggling. That’s the word Gyo, the senior engineer who built the first version of Kepler, keeps coming back to when he talks about where it started. “I have a lot of terminals opened, and with all those tabs, it was very difficult for me to keep focused on what I was doing,” he says. “I’m not a juggler.”
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By Jade Nangah
Merge conflicts rarely make it into a sprint retrospective, but they should. They’re one of the most reliable ways to lose an hour of flow without anyone noticing it’s gone. Every developer expects them eventually, but almost nobody questions the workflow around resolving them.
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By Chris Griffing
GitBench is our attempt to see how well LLMs handle git-specific tasks. We put together a suite of 17 benchmark categories with a total of 204 specific test cases. We ran these benchmarks against 43 (and counting) different models with all of their supported effort/reasoning levels.
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By Matt Johnston
From plan to main. Software is no longer just a tool. It is the infrastructure of modern life. Software keeps airplanes in the sky and power flowing into our homes. It helps doctors save lives, scientists discover cures, farmers feed cities, and astronauts navigate space. It powers economies, protects supply chains, and connects billions of people across the world. Every major system humanity depends on now depends on software. Which means developers are no longer just building applications.
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By GitKraken
AI didn't just change how fast code gets written. It exposed a new bottleneck: everything around the code. Reviews slow down. Context gets lost. Planning drifts from implementation. Teams move fast and still feel stuck. That's the problem GitKraken is built to solve, and this Friday we're going live to walk through what's changed. We'll cover the latest Code Flow Company features we've shipped, how they connect developers, AI agents, and production into one system, and what it actually looks like to go from plan to main without the chaos.
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By GitKraken
New data from our VP of Dev Research on The Programming Podcast. 84% of devs feel more productive with AI coding tools 43% feel MUCH more productive The kicker: productivity feeling scales directly with how agentic your workflow is. The more agents do, the better it feels.
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By GitKraken
AI didn't just change how fast code gets written. It exposed a new bottleneck: everything around the code. Reviews slow down. Context gets lost. Planning drifts from implementation. Teams move fast and still feel stuck. That's the problem GitKraken is built to solve, and this Friday we're going live to walk through what's changed. We'll cover the latest Code Flow Company features we've shipped, how they connect developers, AI agents, and production into one system, and what it actually looks like to go from plan to main without the chaos.
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By GitKraken
New: launch a Claude Code or Codex CLI session straight from the Agents panel. One click → isolated worktree → setup commands run → agent starts. Your other worktrees don't even notice. Parallel AI agents without the chaos. That's code flow.
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By GitKraken
AI adoption is easy to report. Business impact is harder to prove. Engineering leaders are under pressure to show what AI is actually changing — not just who is using it, but whether it is improving delivery, quality, developer experience, and business outcomes. This discussion between 3 engineering leaders explores how to move beyond vanity metrics, build a practical measurement approach, and communicate AI’s value to executives and CFOs with more credibility and less hype.
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By GitKraken
GitKraken Desktop gives you a visual Git client and AI coding agent hub in the same window. Manage branches, PRs, and conflicts on the Commit Graph while running Claude Code, Copilot, Codex, or Gemini in separate worktrees. Available on Windows, Mac, and Linux.
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By GitKraken
AI tools are spreading across the entire software development lifecycle - but are they actually making developers more productive, or just adding noise? In this panel from Context Conference, Najla Elmachtoub (Squadformers) moderates a sharp, no-fluff conversation with Nathen Harvey (Google, DORA program), Bill Harding (GitClear), and Jeremy Castile (GitKraken) on what's really working when it comes to AI and developer experience.
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By GitKraken
Kepler is GitKraken's agentic development environment: mission control for running parallel coding agents at scale. Running one agent is easy. Running five of them across three repos is where things break: scattered terminals, no shared view, no idea what's done or stuck. Kepler puts every agent session on one surface so you can plan work, write code, and review what ships without losing track of anything.
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By GitKraken
Developer experience predicts what's coming 3 to 6 months before it shows up in your delivery metrics. So why are most engineering leaders measuring it last? In this session, GitKraken VP of Developer Research Jeremy Castile breaks down what developer experience (DevX) actually is, how to measure it across 6 key dimensions, and how it connects to velocity, code quality, and AI impact data your team is already tracking.
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By GitKraken
AI developer productivity, agentic workflows, and the lessons learned running engineering tools for 100,000+ software engineers at Google. John Montgomery, CCO at GitKraken, sits down with Asim Hussain, co-founder of Alterion AI and former Google VP of Engineering Productivity, to get real about what AI actually changes for engineering teams in 2025.
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GitKraken is on a mission to make Git easier, safer and more powerful across multiple surfaces and environments that development teams use.
Over 10 million developers from more than 100,000 organizations worldwide rely on GitKraken to get their work done. Since 2014, we've been rapidly developing the legendary cross-platform tools while reimagining an intuitive, visual approach to Git. Our team is dedicated to making tools that help software developers be more productive using Git, it's truly our passion. We develop software that's in use by the world's most elite companies like Apple, Google, Microsoft, Amazon, and thousands of other leading organizations.
We Make Git Tools Devs Love.