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Spec-driven development with AI coding agents could change how you build software. In this GitKon 2025 talk, Erik Hanchett, Senior Developer Advocate at AWS, breaks down why AI coding assistants perform dramatically better when they start with structured specifications instead of raw prompts. If you've been vibe coding your way through complex features and wondering why your AI keeps going off the rails, this is the video for you.

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.

AI-assisted merge conflict resolution is changing how developers handle Git workflows. Watch GitKraken Ambassador Kevin Bost demonstrate AI-powered features that eliminate merge conflict dread, clean up messy commit history, and generate contextual commit messages in seconds.

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.

AI commit message generation is fast, accurate, and consistent. It's also missing the most important thing: the why. AI-assisted Git workflows can summarize a diff in seconds, but they optimize for description, not decision-making. In this video, we break down what AI commit messages do well, where they fall short, and how to use them without quietly erasing the context future teammates (and future you) actually need.

Git is full of underused powers that most developers never discover. In this GitKon 2025 session, GitKraken Senior Product Manager Jonathan Silva reveals 6 lesser-known Git commands that solve real workflow pain points, from recovering lost commits to managing stashes strategically. Learn how to undo commits without losing work, recover deleted branches with git reflog, cherry-pick without immediate commits, target specific stashes, see contributor breakdowns, and more. Jonathan also demonstrates how GitKraken Desktop makes these workflows visual and intuitive.

Security that developers never have to think about. That's the goal Audrey Long, Senior Gaming Cloud Security Architect at Microsoft Gaming Security, set out to achieve, and then actually built. In this GitKon session, Audrey walks through how Microsoft Gaming tackled a massive identity security challenge across double-digit Entra ID tenants spanning independent game studios. With no existing tooling that fit the pace of game development, her team built the Entra ID Tenant Security Scanner from scratch using the Maester Framework, custom PowerShell, and GitHub Actions.

GitKraken Desktop 11.10 is live! This release focuses on control over the commit graph, rebases, and more. The kind that makes working in complex repositories feel intentional instead of chaotic. Here’s what’s new: These updates bring long requested structural improvements directly into the GitKraken Desktop UI. If you care about clean history, readable diffs, and managing serious repos without jumping to the CLI, this release is for you.

GitKraken Desktop: GitKraken CLI: GitLens for VS Code: Git Integration for Jira: Git Blog.

Spec-driven development with AI coding agents could change how you build software. In this GitKon 2025 talk, Erik Hanchett, Senior Developer Advocate at AWS, breaks down why AI coding assistants perform dramatically better when they start with structured specifications instead of raw prompts. If you've been vibe coding your way through complex features and wondering why your AI keeps going off the rails, this is the video for you.