|
By Jade Nangah
Most teams use Jira to plan work and GitHub to build it. The problem is those two tools don’t talk to each other by default. Developers end up manually copying commit references into tickets, project managers hunt through GitHub to answer basic status questions, and sprint reviews become archaeology expeditions through two disconnected systems. Git Integration for Jira closes that gap.
|
By Jade Nangah
Introducing GitKraken Desktop 12.0. At some point in the last year, the question shifted. It stopped being “should I use AI coding agents?” and became “how do I run more than one at a time without losing my mind?” If you’ve been there, you know what the management layer looks like. A terminal per agent. A worktree created by hand before each session.
|
By Jeremy Castile
There’s a version of the AI story that engineering leaders want to hear. It goes like this: adopt AI coding tools, watch output multiply, ship faster, do more with less. Clean. Simple. Boardroom-ready. The data tells a different story. Not a worse one. Just a more honest one. We recently analyzed 2,172 developer-weeks of real coding activity across teams using GitHub Copilot, Cursor, and Claude Code. The headline numbers are striking: power users show 4-14x higher activity than non-users.
|
By Jade Nangah
During International Women’s Month, we celebrate women whose technical work changed entire industries. But the lessons from engineers like Margaret Hamilton aren’t seasonal, they’re fundamental to how we should approach software development every single day. Margaret coined the term “software engineering” and built the code that landed humans on the moon. Her approach to rigor is as relevant to your next Git commit as it was to Apollo 11’s descent engine.
|
By Jade Nangah
Seven developer-requested features. Tighter control over branches, history, and large repos. No CLI detours required. If you have been using GitKraken Desktop in a complex repo, you already know what it feels like when the commit graph turns into a wall of branches. When rebasing requires more ceremony than it should. When you just need one file back from three commits ago but have to orchestrate a whole checkout to get it. GitKraken Desktop 11.10 is built for those moments.
When we rolled out AI coding tools across our engineering team, the first few weeks felt great. Developers were enthusiastic. Acceptance rates looked healthy. Everyone said they felt more productive. Then my CEO asked me a simple question: “Is it working?” And I realized I didn’t have a good answer. Feeling productive and being productive are not the same thing.
|
By Jade Nangah
Most developers spend hours each week wrestling with Git. Not because they’re bad at their jobs, but because Git doesn’t actively teach you its most powerful features. At GitKon 2025, our Senior Product Marketing Manager Jonathan Silva revealed 6 underused Git commands that solve the workflow problems developers face every day: botched rebases, lost commits, and merge conflict chaos. These aren’t advanced techniques.
|
By Iva Dobreva
As developers, we’ve all been there: a frantic coding session, a few hasty commits, and suddenly our Git history looks like a patchwork quilt of “fix,” “oops,” and “stuff.” While git rebase -i is a powerful tool for cleaning up, it’s also a source of anxiety for many, often leading to more headaches than it solves. What if you could achieve a pristine, meaningful commit history without the fear of breaking things or hours spent squashing and rewriting?
|
By Jade Nangah
Some releases break new ground. Others clear the path. GitKraken Desktop 11.8 does both. You know that moment when you’re three commits deep into an interactive rebase and realize you’ve made a terrible mistake? Or when you’re trying to explain what changed on a feature branch, but it means manually selecting 47 commits? Or when you just want to preview a README without opening another app?
|
By Jade Nangah
You’ve probably used AI earlier today. Maybe you asked it to debug a function, generate a test case, or explain a legacy codebase you just inherited. But here’s the thing: you didn’t just type a question and get an answer. You explained your problem, shared background context, pasted code snippets, clarified what you meant, then refined the output until it was actually useful. In other words, you were context engineering.
|
By GitKraken
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.
|
By GitKraken
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.
|
By GitKraken
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.
|
By GitKraken
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.
|
By GitKraken
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.
|
By GitKraken
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.
|
By GitKraken
AI can write code fast, but it makes mistakes humans often don't. In this session from Ole Lensmar, CTO of Testkube, breaks down the real quality risks of AI-generated code and how engineering teams can build guardrails before those bugs hit production. What you'll learn: Common mistakes LLMs make (and which ones are unique to AI) Whether you're a developer leaning on AI to ship faster or a QA lead trying to keep up with the pace of AI-generated code, this talk gives you a practical framework for staying ahead of quality issues.
|
By GitKraken
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.
|
By GitKraken
What does a meaningful developer career look like in the age of AI? We brought together four experts to answer exactly that. In this GitKon panel, GitKraken CMO Kate Adams moderates a conversation with Leon Noel (Managing Director of Engineering, Resilient Coders), Danny Thompson (Director of Technology and host of The Programming Podcast), Maggie Hunter (Recruitment Lead, GitKraken), and Dimitry Fonarev (CEO, Testkube) to explore how software engineers can future-proof their careers, grow their skills, and navigate an industry that is changing fast.
|
By GitKraken
What happens when you give an AI agent hundreds of API endpoints and hope it figures out the right workflow? Spoiler: it nearly gets it right... but never reliably. In this talk, Frank Kilcommins (Head of Enterprise Architecture at Jentik and co-author of the Arazzo Specification) breaks down why API documentation quality is the core knowledge problem holding agentic systems back (and how Arazzo solves it).
- April 2026 (11)
- March 2026 (13)
- February 2026 (10)
- January 2026 (11)
- December 2025 (2)
- November 2025 (11)
- October 2025 (15)
- September 2025 (10)
- August 2025 (10)
- July 2025 (20)
- June 2025 (8)
- May 2025 (5)
- April 2025 (3)
- March 2025 (9)
- February 2025 (6)
- January 2025 (14)
- December 2024 (6)
- November 2024 (18)
- October 2024 (10)
- September 2024 (19)
- August 2024 (6)
- July 2024 (27)
- June 2024 (27)
- May 2024 (26)
- April 2024 (29)
- March 2024 (28)
- February 2024 (27)
- January 2024 (16)
- December 2023 (29)
- November 2023 (22)
- October 2023 (8)
- September 2023 (9)
- August 2023 (7)
- July 2023 (2)
- June 2023 (2)
- May 2023 (4)
- April 2023 (5)
- March 2023 (5)
- February 2023 (6)
- January 2023 (10)
- December 2022 (3)
- November 2022 (2)
- October 2022 (3)
- September 2022 (5)
- August 2022 (3)
- July 2022 (4)
- June 2022 (5)
- May 2022 (5)
- April 2022 (6)
- March 2022 (4)
- February 2022 (4)
- December 2021 (4)
- November 2021 (15)
- October 2021 (2)
- September 2021 (6)
- August 2021 (1)
- July 2021 (4)
- June 2021 (1)
- May 2021 (2)
- January 2021 (3)
- November 2020 (2)
- October 2020 (3)
- September 2020 (2)
- August 2020 (3)
- July 2020 (3)
- June 2020 (3)
- May 2020 (2)
- April 2020 (3)
- March 2020 (4)
- February 2020 (5)
- January 2020 (5)
- December 2019 (2)
- November 2019 (3)
- October 2019 (1)
- September 2019 (2)
- August 2019 (3)
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.