Generated by Rank Math SEO, this is an llms.txt file designed to help LLMs better understand and index this website. # GitKraken > GitKraken builds tools that help developers and teams move code from plan to main. AI made writing code faster, but reviews, merge conflicts, and coordinating multiple AI agents now slow delivery. GitKraken's tools cover every stage of that flow: Kepler for running and supervising AI coding agents, GitKraken Desktop for visual Git, GitLens for Git context inside the IDE, GitKraken Code Review for pull requests, and GitKraken Insights for measuring AI's impact on engineering. GitKraken is used by 40M+ developers and 100,000+ companies. ## Sitemaps - [XML Sitemap](https://gitkraken.com/sitemap_index.xml): Includes all crawlable and indexable pages. ## Posts - [Keif Schematic](https://gitkraken.com/keif-gallery/schematic-keif) - [Keif, the Kraken](https://gitkraken.com/keif-gallery/keif-the-kraken) - [7 Best Code Review Platforms for Regulated Dev Teams (2026)](https://gitkraken.com/blog/7-best-code-review-platforms-for-regulated-dev-teams-2026): 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. - [7 Best Tools for Parallel AI Coding Across Repos (2026)](https://gitkraken.com/blog/7-best-tools-for-parallel-ai-coding-across-repos-2026): 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. - [7 Best Enterprise ADEs for Secure Multi-Agent Coding (2026)](https://gitkraken.com/blog/7-best-enterprise-ades-for-secure-multi-agent-coding-2026): 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. - [GitLens 19.4: Explore the Commit Graph Without an Account](https://gitkraken.com/blog/gitlens-19-4-explore-the-commit-graph-without-an-account): GitLens 19.4 makes it easier to get into your repository, understand your Git history, and start working without extra setup. - [Best Code Review Platforms for Enterprise Teams](https://gitkraken.com/blog/best-code-review-platforms-for-enterprise-teams): If your engineering team operates under compliance constraints, code review is about more than catching bugs. It's where security policies get enforced, audit trails get documented, and institutional knowledge gets shared. Choosing the right code review platform determines how quickly your developers move from pull request to production. - [Best Git Platforms for Jira Teams Compared](https://gitkraken.com/blog/best-git-platforms-for-jira-teams-compared): If your team runs on Jira, the Git platform you choose can either accelerate your workflow or slow it to a crawl. Commits that never show up in your sprint board, branches that don't link back to tickets, and pull requests that exist in a parallel universe from your backlog: these are the friction points that stack up fast for Jira-centered teams. - [Understanding Agentic Development Environments](https://gitkraken.com/blog/understanding-agentic-development-environments): AI coding agents are rewriting the rules of software development, but running multiple agents across a real codebase creates a coordination challenge that traditional editors and terminals weren't built to solve. That's where agentic development environments come in. - [GitKraken AI Case Study](https://gitkraken.com/customers/gitkraken-ai-case-study): X  - [How to Resolve Git Merge Conflicts in 8 Easy Steps (2026)](https://gitkraken.com/blog/how-to-resolve-git-merge-conflicts-in-8-easy-steps-2026): A Git merge conflict happens when two branches edit the same line of code in different ways. Git can't decide which version to keep, so it pauses the merge and asks you to step in. The longer a conflict sits unresolved, the harder it becomes to untangle. - [Best Code Review Collaboration Platforms for AI Teams](https://gitkraken.com/blog/best-code-review-collaboration-platforms-for-ai-teams): Your team ships more code than ever, but are your pull requests keeping pace? As AI-assisted development accelerates output, code review collaboration platforms have become the difference between shipping confidently and merging blindly. - [Best Version Control Platforms for Teams in 2026](https://gitkraken.com/blog/best-version-control-platforms-for-teams-in-2026): Your distributed team just merged three branches at once, and the commit graph looks like a plate of spaghetti. Choosing the right version control platform determines whether that scenario ends in a five-minute fix or a full afternoon of detective work. - [Best ADEs for Multi Agent Coding in 2026](https://gitkraken.com/blog/best-ades-for-multi-agent-coding-in-2026): Running one AI coding agent is productive. Running five of them at once across three repositories? That's a coordination problem. Agentic development environments (ADEs) give you a single surface to orchestrate multiple agents, review what each one changed, and get code merged. - [6 Best Code Review Platforms for Jira Teams (2026)](https://gitkraken.com/blog/6-best-code-review-platforms-for-jira-teams-2026): Code review in a Jira-centric workflow can become a bottleneck fast. Pull requests pile up, context gets lost between your Git host and your issue tracker, and reviewers spend time switching tabs instead of reading code. The right code review platform should connect Git activity directly to the issues you're tracking. - [Models Are Getting Really Good At Git](https://gitkraken.com/blog/models-are-getting-really-good-at-git): I built GitBench because I was curious about how well models did git things. It turns out that it was a good idea because some models will surprise you. Some of the frontier models were remarkably bad and some cheap open models punched above their weight class. But, as they say, “the times they are a changin’”. - [One Graph, Every Worktree, No Context Lost](https://gitkraken.com/blog/one-graph-every-worktree-no-context-lost): Five worktrees for five agents sounds like organization. In practice, it's five contexts to keep straight, five places history could live, five spots for a WIP that gets left behind or diffed against the wrong branch. - [Challenging the Death of the IDE](https://gitkraken.com/blog/challenging-the-death-of-the-ide): There is no doubt that LLMs have changed how we work as developers. You can go back just a year from today and I would have had a very different opinion. But, things have changed significantly. Complex work usually involves just prompting an agent for it. You still need taste and opinions to steer it the right way. With that in mind, it’s easy to se that the future of the IDE might be uncertain. - [What Is an Agentic Development Environment? Kepler Is GitKraken’s Answer.](https://gitkraken.com/blog/gitkrakenskepler): Every new AI coding agent comes with the same pitch: write code faster. For most devs, that part already checks out. Codex writes a function in seconds. Claude Code refactors a file mid-meeting. Copilot fills in a test before you finish describing it. - [6 Best Pull Request Review Tools for Enterprise Teams in 2026](https://gitkraken.com/blog/6-best-pull-request-review-tools-for-enterprise-teams-in-2026): Finding the right pull request review tool can mean the difference between a team that ships confidently and one that drowns in open PRs. When review workflows are scattered across tabs, comment threads, and standalone dashboards, code quality and velocity both take a hit. GitKraken gives you a unified code review experience that connects your IDE, desktop client, and browser so reviews happen where you already work. - [6 Top Jellyfish Competitors for Engineering Analytics 2026](https://gitkraken.com/blog/6-top-jellyfish-competitors-for-engineering-analytics-2026): Engineering teams are investing more in AI coding tools, and that means the platform you use to measure delivery performance needs to keep up. Jellyfish has been a go-to for engineering analytics, but it's not the only option on your radar anymore. - [You Can Have Your Pi and Kepler It Too](https://gitkraken.com/blog/you-can-have-your-pi-and-kepler-it-too): One of the features I have been wanting in Kepler for a long time was the ability to use Pi as my agent when spinning up tasks. Pi is such a minimal harness that it doesn't prompt for approval for every little thing and it's system prompt let's the model just be itself. That minimalism comes at a cost, though. Pi doesn't have ACP support out of the box, so that means we haven't been able to officially support it in Kepler, yet. - [Turn off your GPU to fix GitKraken on WSL (and three other things support is fielding this week)](https://gitkraken.com/blog/turn-off-your-gpu-to-fix-gitkraken-on-wsl-and-three-other-things-support-is-fielding-this-week): Every so often we sit down with someone from our support team and turn their week into a blog post. This time, Roberto walks us through four things generating tickets right now: an upcoming Microsoft authentication change, how AI credit pools actually work, multi-account support in Kepler, and a one-line fix for laggy GitKraken on Linux or WSL. Here's what's changing and what to do about it. - [Run More Internal Hackathons](https://gitkraken.com/blog/run-more-internal-hackathons): Internal hackathons are a powerful way to let your teams explore ideas and work together on something fun besides the same old stuff for work. Maybe they want to build something brand new, maybe they want to knock out things that are on the backlog that never get prioritized, or maybe they want to work on something fun but completely unrelated to work. It's just a great way to let your team exercise their creativity in a way that they might not always be able to when they are going about their daily responsibilities. - [Questions to Ask About AI Agent Orchestration](https://gitkraken.com/blog/questions-to-ask-about-ai-agent-orchestration): Running AI coding agents in parallel across repositories is no longer experimental. It's how high-performing engineering teams ship faster. But the tools you pick to orchestrate those agents can either multiply your output or introduce new bottlenecks. - [Code Review Platforms That Reduce PR Bottlenecks](https://gitkraken.com/blog/code-review-platforms-that-reduce-pr-bottlenecks): Pull request queues keep growing, reviewers lose context between rounds of feedback, and merges stall for days. If your team's code review process has become a bottleneck instead of a quality gate, the tooling around it may be the real issue. GitKraken gives you a unified code review workspace that cuts through noise and surfaces meaningful changes so reviewers focus on what matters. - [6 Best Jellyfish Alternatives Compared for 2026](https://gitkraken.com/blog/6-best-jellyfish-alternatives-compared-for-2026): Jellyfish helped define engineering intelligence for enterprise teams, but it's far from the only way to track software engineering intelligence alternatives like DORA metrics, delivery velocity, and AI coding tool impact. GitKraken Insights gives you full-stack developer intelligence with 15-minute setup and built-in AI impact measurement. - [Why I’m excited to join GitKraken](https://gitkraken.com/blog/why-im-excited-to-join-gitkraken): I wanted you to hear directly from me that I’ve joined GitKraken as CEO. I’m honored to succeed Matt Johnston, who has led the company through five years of significant growth and scale. - [What to Know About AI Code-to-Merge Platforms](https://gitkraken.com/blog/what-to-know-about-ai-code-to-merge-platforms): 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. - [Can You Prove Your AI Agents Are Paying Off? Most Developers Can’t](https://gitkraken.com/blog/can-you-prove-your-ai-agents-are-paying-off-most-developers-cant): 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. - [8 Key Gaps in Code Review Collaboration Platforms](https://gitkraken.com/blog/8-key-gaps-in-code-review-collaboration-platforms): 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. They hide in handoff gaps, missing context, and review bottlenecks that no feature checklist warns you about. - [Kepler Tutorials: Every Video You Need to Get Started](https://gitkraken.com/blog/kepler-tutorials-every-video-you-need-to-get-started): 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, is where most developers lose the thread. That's the problem Kepler is built to solve, and it's also why we put together a full tutorial series instead of a single walkthrough. Parallel agent work has more moving parts than a five-minute demo can cover. - [What Are Stealth Models?](https://gitkraken.com/blog/what-are-stealth-models): The recent mystery around Ox Alpha last week and the week before was a fun slice of what makes social media fun. The hunt for the model provider and how people did that discovery should be studied. But, this post is more about stealth models in general. You might be wondering what the phrase "stealth model" even means and if you already know, you might still be curious about why companies release stealth models. - [Why We Stopped Reading Agent Logs Like a Waterfall](https://gitkraken.com/blog/why-we-stopped-reading-agent-logs-like-a-waterfall): 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 call to talk through it, he skipped the changelog and went straight to the part he actually wanted to talk about: how agents show their work. - [Don’t Sleep on Perplexity](https://gitkraken.com/blog/dont-sleep-on-perplexity): Perplexity was a big name a few years ago. But, we haven't heard much out of them lately. There are plenty of posts on social media criticizing Perplexity to that effect. One thing that the posts miss is that Perplexity is still the king of AI search. Google is giving it a run for its money with the AI previews on Google search, but Perplexity still wins out in several measurable ways. - [6 Things to Know Before Choosing an SEI Platform in 2026](https://gitkraken.com/blog/6-things-to-know-before-choosing-an-sei-platform-in-2026): 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 every vendor claims to track the metrics that matter. - [What to Look for in Code Review Platforms](https://gitkraken.com/blog/what-to-look-for-in-code-review-platforms): 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 PR volume, choosing the right code review platform is a decision that directly affects your team's velocity. - [Inside the Live Launch: What We Showed for GitKraken Insights for Developers and Kepler](https://gitkraken.com/blog/live-launch-gitkraken-insights-for-developers): 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, our VP of Developer Research, opened with research on how teams are actually using AI agents today. If you want the full breakdown of that data, including the adoption numbers and the gap between feeling faster and proving it, we published it separately in State of AI in Engineering 2026: The Proof Gap. This post covers what came after: the live product demos and the questions that came out of them. - [Kepler: One place to run every agent, from idea to merged](https://gitkraken.com/blog/big-kepler-release): The biggest Kepler update since public preview is live. If you tried Kepler early, here's what changed, and the problem it's built to solve. - [Everyone Feels Faster. Almost Nobody Can Prove It.](https://gitkraken.com/blog/everyone-feels-faster-almost-nobody-can-prove-it): What 554 developers and engineering leaders told us about AI, agents, and the measurement gap nobody's closing. - [You Aren’t As Behind As You Think](https://gitkraken.com/blog/you-arent-as-behind-as-you-think): TL;DR: There have been a couple tweets and posts about the AI adoption curve that I found interesting: - [AI Was Supposed to Mean Working Less. For Some Developers, It’s Doing the Opposite.](https://gitkraken.com/blog/ai-was-supposed-to-mean-working-less-for-some-developers-its-doing-the-opposite): 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 a lot of teams are quietly noticing instead:  - [GitLens 19 Shows You the Whole Stack, Not Just the Next Pull Request](https://gitkraken.com/blog/gitlens-19-shows-you-the-whole-stack-not-just-the-next-pull-request): Splitting one big pull request into five smaller ones doesn't automatically make review faster. It just moves the complexity from the diff to your head, unless something keeps track of the order for you. - [Kepler and Insights: Built From Opposite Directions](https://gitkraken.com/blog/kepler-and-insights-built-from-opposite-directions): Most companies buy AI tools for developers and hope the impact shows up somewhere. A faster sprint. Fewer escaped bugs. Something. What they don't have is a way to actually see it happening, which means adoption becomes a leap of faith instead of a measured bet. - [How a Request in Slack Turns Into a GitKraken Feature](https://gitkraken.com/blog/how-a-request-in-slack-turns-into-a-gitkraken-feature): Most companies will tell you they're customer-obsessed. Fewer can point to the actual mechanism. At GitKraken, it isn't a quarterly survey or a roadmap council. It's a Slack channel where developers vent about their Git workflow, and the desktop team is already in there reading it. - [GitLens 19: The Commit Graph Reimagined for Parallel Development](https://gitkraken.com/blog/gitlens-19-the-commit-graph-reimagined-for-parallel-development): Visualize branches and commits, manage parallel work and agents, and run your entire Git workflow from one view. - [ACP: The Protocol Powering Kepler](https://gitkraken.com/blog/acp-the-protocol-powering-kepler): The secret sauce that powers Agentic Development Environments (ADEs) like Kepler is a little thing called the Agent Client Protocol (ACP). In this context, Kepler is the Client and harnesses like Claude Code and the Codex CLI are the Agents. We're going to go over some of the details about how it works, how we use it at GitKraken, and how the protocol may be changing for the better. ## Pages - [Reports](https://gitkraken.com/media/reports): Explore e-books and reports built for engineering leaders navigating the age of AI and agents, with practical insights on proving ROI, reporting to leadership, and driving high-impact adoption. - [GitKraken Insights Pricing – 26](https://gitkraken.com/insights/pricing): Real agentic developer intelligence for every contributor, in one plan. - [Kepler](https://gitkraken.com/kepler): × - [State of AI](https://gitkraken.com/reports/state-of-ai): Everyone feels faster. Almost nobody can prove it. - [Kepler Download Linux rpm ARM](https://gitkraken.com/kepler/download/linux-rpm-arm64): Download didn't start? Try downloading again - [Kepler Download Linux rpm](https://gitkraken.com/kepler/download/linux-rpm-64): Download didn't start? Try downloading again - [Kepler Download Linux deb ARM](https://gitkraken.com/kepler/download/linux-deb-arm64): Download didn't start? Try downloading again - [Kepler Download Linux deb](https://gitkraken.com/kepler/download/linux-deb-64): Download didn't start? Try downloading again - [Kepler Download Linux AppImage ARM](https://gitkraken.com/kepler/download/linux-appimage-arm): Download didn't start? Try downloading again - [Kepler Download Linux AppImage](https://gitkraken.com/kepler/download/linux-appimage): Download didn't start? Try downloading again - [Kepler Download Windows ARM64](https://gitkraken.com/kepler/download/windows-arm64): Download didn't start? Try downloading again - [Kepler Download Windows 64](https://gitkraken.com/kepler/download/windows-64): Download didn't start? Try downloading again - [Kepler Download macOS 64](https://gitkraken.com/kepler/download/macos-64): Download didn't start? Try downloading again - [kepler download macOS arm](https://gitkraken.com/kepler/download/macos-arm): Download didn't start? Try downloading again - [GitKraken Client Try Free – C](https://gitkraken.com/git-client/try-free-c): GitKraken works natively with your repos, issues, IDEs, agents and more, so you can reduce context switching and focus on building. - [Agent Management](https://gitkraken.com/features/agent-management): GitKraken Agent Management is built into GitKraken Desktop, GitLens, and Kepler. Launch and monitor AI coding agents, and run work in parallel across your private repos, without leaving your normal tools. - [Index – 2026](https://gitkraken.com/): Kepler by GitKraken ADE gives developers a purpose-built environment for collaborating with AI on real software work, without losing context, oversight, or momentum. - [Code Reviews for Git Workflows](https://gitkraken.com/features/code-review): GitKraken Code Review helps teams understand pull requests faster by reducing noise, highlighting meaningful logic changes, and building context with AI-assisted workflows, all without leaving existing Git provider workflows. - [Kepler -lp](https://gitkraken.com/lp/project-kepler): Project Kepler Key facts: - Kepler is GitKraken's agentic development environment (ADE), not an IDE. It works with the coding agents developers already use, including Claude Code, Codex CLI, Copilot CLI, and Cursor. - Kepler is included in paid GitKraken plans. - GitKraken tools run on Windows, Mac, and Linux. ## Who GitKraken is for - Developers running AI coding agents: Developers using Claude Code, Codex, Copilot, or Cursor across multiple repos who need one place to launch, track, and review agent work instead of one terminal per agent. Start with Kepler. - Small, self-funded development teams: Teams of 2 to 5 developers who need clear Git workflows, clean pull requests, and shared visibility without enterprise overhead or complexity. Start with GitKraken Pro. - Developers new to Git or early in their careers: Students and entry-level engineers who want to understand branches, history, and merge conflicts visually, without memorizing Git commands or risking lost work. Start with GitKraken Desktop. - Experienced developers juggling parallel work: Mid-level and senior engineers managing multiple repos, branches, and worktrees who want less tool switching and faster code reviews. Start with GitLens or GitKraken Desktop. - Team leads and senior developers: Leads who want consistent Git practices across the team, fewer teammates blocked by Git problems, and code reviews that focus on code instead of Git mechanics. Start with GitKraken Code Review. - Engineering managers and leaders: Decision-makers who need to prove whether AI coding tools are improving velocity, code quality, and delivery, with real metrics instead of vendor promises. Start with GitKraken Insights. ## Products - [Kepler](https://gitkraken.com/kepler): GitKraken's agentic development environment (ADE). Run parallel AI coding agents across multiple repos from one surface, start work from issues or pull requests, and track every agent session on a Kanban board. - [GitKraken Desktop](https://www.gitkraken.com/git-client): Visual Git client for Windows, Mac, and Linux. See branches, commits, and conflicts in a single commit graph view. - [GitLens](https://www.gitkraken.com/gitlens): Git extension for VS Code and other IDEs. Code history, authorship, and agent activity right where developers already work. - [GitKraken Code Review](https://gitkraken.com/features/code-review): Pull request review with move detection and AI-assisted walkthroughs that reduce diff noise, with the reviewer keeping the final decision. - [GitKraken Insights](https://www.gitkraken.com/insights): Engineering intelligence that shows how AI tools affect a team's velocity, code quality, and delivery metrics. - [Agent Management](https://gitkraken.com/features/agent-management): How GitKraken tools help developers launch, monitor, and review work from multiple AI agents. ## Getting started - [Download GitKraken](https://www.gitkraken.com/download): Download GitKraken Desktop for Windows, Mac, or Linux. - [Pricing](https://www.gitkraken.com/pricing): Plans for individuals, teams, and enterprises, including which plans include Kepler and GitKraken Insights. - [GitKraken Insights pricing](https://gitkraken.com/insights/pricing): Plans and access for GitKraken Insights. - [Agent workflow guide](https://gitkraken.com/lp/workflows/agents): Step-by-step workflow for starting agent work with context, monitoring progress, and reviewing results. ## Key articles - [What is an agentic development environment?](https://gitkraken.com/blog/gitkrakenskepler): Defines the ADE category and explains how Kepler differs from an IDE. - [Introducing Kepler](https://www.gitkraken.com/blog/introducing-kepler-the-delivery-engine-for-agent-driven-development): Why GitKraken built Kepler and the multi-agent problems it solves. - [State of AI report](https://gitkraken.com/reports/state-of-ai): GitKraken research on how developers and engineering teams are adopting AI. - [Best pull request review tools for enterprise teams](https://gitkraken.com/blog/6-best-pull-request-review-tools-for-enterprise-teams-in-2026): Comparison of PR review tools for large teams. - [Jellyfish competitors for engineering analytics](https://gitkraken.com/blog/6-top-jellyfish-competitors-for-engineering-analytics-2026): Comparison of engineering intelligence platforms. ## Documentation - [Help Center](https://help.gitkraken.com): Setup guides and documentation for Kepler, GitKraken Desktop, GitLens, and GitKraken Insights. ## What developers say - "If you are doing agentic coding, GitKraken is the one indispensable tool that you absolutely must use if you want to stay on top of what your agents are up to. It is the one tool that I really can't imagine living without." John Ennis - "Kepler is an amazing AI orchestration tool because it works with the AI CLI workflows I already use rather than locking me into a single model or ecosystem. It gives me a consistent flow for managing agents across different eco systems, in a simple familiar way, allowing me to focus on what matters rather than wrangling different agent CLIs." Kevin Bost, Senior Software Architect - "GitKraken Desktop is my daily driver for all source control work. The UX allows me to work very effectively with repositories, work items, and PRs. The AI infused flows take this up a notch and let me offload that work so I can focus on what really matters." Kevin Bost, Senior Software Architect - "GitKraken Desktop has become my essential Git tool. If you want a Git client that combines powerful visualization, smart AI assistance, and an excellent user experience, GitKraken Desktop is hard to beat." Dr. Holger F., CEO - "This product is just amazing! It is exactly what i need as lead AI engineer." David Bonan, Lead AI Engineer (on Kepler) - "Unification of approach is what I've been doing for the past 30 years. I have been moving through things just trying to make it more simpler, more easier, more work. You've just done another one for me with Kepler. Thank you so much." Jon Humphrey, Senior Front-End Engineer - [Customer stories](https://gitkraken.com/media#customer-stories): Case studies from GitKraken customers. ## Research - [The State of Developer Workflows 2025](https://544893.fs1.hubspotusercontent-na1.net/hubfs/544893/The%20State%20of%20Developer%20Workflows%202025_5-1-25.pdf): Research from 200+ engineering organizations. Most teams see the value of consistent workflows, but only 12% have standardized them end-to-end, and that group shows measurable advantages in delivery speed, cross-team collaboration, and quality. Covers the blockers keeping teams stuck, workflow maturity benchmarks, and how to prepare teams for AI-driven development. - [The AI Productivity Paradox 2025](https://544893.fs1.hubspotusercontent-na1.net/hubfs/544893/Quantifying%20the%20Impact%20of%20AI%20Q4%202025-4.pdf): 81% of developers now use AI and feel more productive, but the research shows growing instability, duplicate code, and delivery problems alongside that productivity. Covers how to measure AI's impact beyond surface-level metrics, reduce technical debt in AI-assisted teams, and adopt AI sustainably. - [State of AI report](https://www.gitkraken.com/wp-content/uploads/2026/07/State-of-AI-GitKraken-Reports.pdf): GitKraken research on how developers and engineering teams are adopting AI. - [Reports and tools](https://gitkraken.com/media/reports): All GitKraken research reports.