Operations | Monitoring | ITSM | DevOps | Cloud

Back to basics. Back to speed. GitKraken Desktop 11.5 is about fixing what was slowing you down. Large repos now open in seconds, stashes refresh instantly, and repos with thousands of refs load without breaking a sweat. Highlights: This release is about speed, reliability, and bringing GitKraken back to its core: a Git client that just works. And works fast. Welcome to 11.5.

Managing multiple repositories shouldn't mean running the same Git commands dozens of times. GitKraken CLI brings multi-repo actions, unified Git workflows, and standardization to command line developers who need bulk operations across their entire workspace. In this GitKon presentation, Louis Silvio (Software Engineer & Cloud Architect at GitKraken) demonstrates how the GitKraken CLI solves the context-switching chaos that slows down modern development teams.

Jeff Hollan (Snowflake Director of Product) gave a talk called "Building Adaptive Teams for AI" that addresses something we're all navigating: how career growth works when teams are adapting to AI workflows.

Rizel Scarlet (Staff Developer Advocate at Block) tackled a problem every developer should care about: apps that spy on users before they even know they need the service. Her solution? Build a privacy-first pregnancy app using AI agents and decentralized web nodes. This isn't just about pregnancy apps - it's about the future of user data ownership.

Every dev has that “there has to be a better way” moment. For Eric Amodio, that moment created GitLens. From scratching his own itch → to millions of devs using it daily.

Master these advanced GitHub Copilot techniques that most developers never discover. From context commands to inline optimization, this tutorial covers real workflows that save hours of development time. What you'll learn: Subscribe for more developer productivity content that goes beyond basic tutorials.

AI is boosting flow, job satisfaction, and productivity for devs. But here’s the twist: it’s not actually giving us more time to do valuable work. In his GitKon talk, Nathen Harvey digs into the real impacts of AI adoption in technical teams. Yes, AI reduces toil and improves satisfaction. But it also shifts how we spend our time and sometimes that means less “valuable work” gets done. So the question becomes: how can we use AI not just to work faster, but to work better?

Programming just evolved from syntax-focused to intent-driven development. GitHub Cloud Solutions Engineer Ambily Kavumkal Kamalasanan breaks down how we've moved through 5 generations of programming languages, from binary code to natural language processing + why GitHub Copilot is changing how developers actually work. Perfect for developers tired of syntax battles and ready to embrace AI-assisted workflows that actually save time.

AI can’t replace your judgement. Audrey Long's GitKon talk was a sharp reminder: over-reliance on AI is a real threat. LLMs can speed up code reviews, brainstorm threats, and auto-generate mitigations, but they’re not gospel. Takeaway: Use AI to accelerate your work, but keep human review at the core of your workflow.