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By Jonathan Silva
On November 4, Conductor announced it’s joining Meta. If you run your agents in Conductor, you probably saw the post that morning. I know I saw it when my coworkers started sharing the link in Slack. If Conductor was your main tool, this kind of sucks. You didn’t plan to go shopping for a new one this month, and 2 weeks to get off Cloud is pretty tight, especially if you built scripts around it.
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By Jade Nangah
Your team runs on GitHub for code and Jira for planning. But when it comes to code review tools, those two worlds rarely talk to each other. Pull requests pile up on one side while issues stall on the other, and reviewers lose time switching between tabs to piece together context. GitKraken gives you a connected code review workflow that bridges GitHub and Jira, so your team spends less time chasing context and more time shipping.
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By Jade Nangah
Choosing a software engineering intelligence platform for an enterprise team means weighing SOC 2 compliance, data privacy controls, and the ability to scale across hundreds or thousands of contributors. You need visibility into DORA metrics, AI coding tool impact, and delivery velocity without compromising how your repositories and developer data are protected.
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By Jade Nangah
Running multiple AI coding agents in parallel across repositories sounds like a productivity multiplier. In practice, it creates a coordination problem: conflicting file edits, orphaned branches, and zero visibility into which agent finished what. AI coding agent orchestration tools exist to solve exactly this, and Kepler by GitKraken gives you one surface to direct every agent from backlog to merged pull request. This guide compares seven tools built for multi-repo, multi-agent development workflows.
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By Jade Nangah
Kepler has picked up a lot over the last few releases. So much, in fact, that Gyo, GitKraken’s Director of Engineering, had to trim his list before walking us through it. We sat down with Gyo and Jonathan, our Product Advocate, to go through the highlights. Gyo explained what shipped and why. Jonathan put the features to work live, building themes, cleaning up tasks, and forking a session from Claude to Codex. Here’s what we learned.
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By Jade Nangah
Your AI coding agents write functions, refactor modules, and generate tests in seconds. Running five of them across three repositories at the same time? That’s a coordination problem, not a code generation problem. Agentic development environments give you one surface to orchestrate multiple agents, review every diff, and get code merged without losing context.
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By Chris Griffing
My content creator friends were eating well last week, figuratively. I would be very surprised if you didn’t hear about any of the security vulnerabilities that were disclosed last week. There were several high profile bugs that could lead to Remote Code Execution (RCE). The vulnerabilities for PHP were so widespread that governmental bodies were advising website owners to take their sites offline until they can implement the latest patches when they became available.
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By Jade Nangah
Regulated development teams face a unique code review challenge: every pull request has to satisfy compliance requirements, document an audit trail, and still merge fast enough to keep your sprint on track. The right code review platform closes that gap between governance and velocity. GitKraken gives regulated teams a unified DevEx platform that connects visual pull request workflows, AI-assisted review, and organization-wide security controls in one workspace.
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By Jade Nangah
Running five AI coding agents in parallel across three repositories sounds like a productivity breakthrough. In practice, it creates a coordination headache: conflicting file edits, orphaned branches, and zero visibility into which agent finished what. Parallel AI coding tools exist to solve exactly this, and Kepler by GitKraken gives you one surface to orchestrate every agent from backlog to merged pull request. This guide compares seven tools built for multi-repo, multi-agent development.
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By Jade Nangah
Your engineering team runs five AI coding agents across three repositories. One is stuck waiting for input, another just overwrote a file the third one was editing, and nobody knows which branch belongs to which task. Sound familiar? Agentic development environments solve this coordination problem by giving you a single surface to orchestrate, review, and merge agent-driven work. This guide compares seven enterprise-ready ADEs built for secure, multi-agent coding workflows.
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By GitKraken
If you missed the news, Meta acquired Conductor. If you liked launching multiple coding agents in parallel there, we've got something for you. Kepler ADE by GitKraken lets you run multiple agents in parallel, start sessions straight from a GitHub issue, and keep an eye on them from your phone.
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By GitKraken
Amethyst is Theme No. 001 in the theme gallery for Kepler ADE by GitKraken. It comes in Dark and Light, and you can try it before you install it. Amethyst is ported from the Amethyst theme for VS Code by Eric Amodio. Music: Kalinnikov, Symphony No. 1 in G minor, III. Scherzo (arranged with Suno)
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By GitKraken
The nature of cyber security is changing. In this video, I do a brief recap of a few of the compromises of the past couple weeks as well as highlight how our role as engineers is changing. Attackers have an easier time than ever in watching repos for changes to exploit 0-day vulnerabilities. But, it isn't all doom and gloom as long as we put in the effort. AI is creating a bit of an arms race between attackers and maintainers of sites and services, but there are actually more powerful tools available to defenders through exclusive programs like Daybreak, Glasswing, etc.
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By GitKraken
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.
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By GitKraken
In Kepler ADE by GitKraken, you can make your own theme. Describe the look you want in plain words, and an agent builds it for you. How it works: Open Settings, go to Appearance, and click Create a theme Type the look you want. In this video I asked for gold and maroon The agent drafts the theme and checks every color for contrast before it saves. Then pick your new theme under Your themes Keep your theme for yourself, or share it with a pull request to gitkraken/kepler-themes so it can join the public gallery.
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By GitKraken
Let's talk about 2 ways to turn off GitKraken AI: for your own account in GitKraken Desktop, and for everyone in your organization from gitkraken.dev. Turn off GitKraken AI for your account (GitKraken Desktop) Turn off GitKraken AI for your organization (admins and owners) Optional: limit AI providers On the same Security controls page, under Enforce AI providers, turn off any provider you don't want your organization to use.
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By GitKraken
Ready to interact with the stack? GitKraken Desktop 12.6 makes it easier than ever to ship large features and manage multi-task terminal workflows without context switching or losing track of your work. What's new in 12.6: Stacked GitHub Pull Requests: Start a pull request stack against a branch that already has an open PR to break large feature branches into smaller pieces. Stack Visibility Everywhere: View stack position, status, and sequence numbers across the Left Panel PR list, the Pull Request view, and the Commit Graph.
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By GitKraken
In this video I go over what GitBench is, how to read its results, and some of the interesting things we can see in the results themselves. Chapters: For some reading on GitBench check out these two blog posts.
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By GitKraken
Our Director of Engineering on why watching an agent's raw text log doesn't work, and why Kepler now shows you a graph instead.
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By GitKraken
AI feels faster. Make sure it is. GitKraken Insights shows engineering leaders the real cost, output, and ROI of their AI investment, per tool, per team, per developer. Then it gives every developer their own data and coaching to get more from it. 84% of developers say they feel more productive with AI. Only about one in five can actually measure the impact.* With GitKraken Insights, you can: We run on it ourselves: GitKraken's own engineering org reached 2.53x output in six months.
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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.
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