Operations | Monitoring | ITSM | DevOps | Cloud

The Quest for Workday Integration: A Tale of Transformation

An international IT solutions company recently embarked on a mission to reshape its HR operations. The HR team sought to revamp its workflows by connecting its ADP payroll system to Workday, ensuring new hire and employee data updates flowed seamlessly, like clockwork. Automation was the goal, and Workday integration lay at the heart of this strategy. The HR team's mission? Banish tedious manual tasks, minimize errors, amplify efficiency, and unlock the full potential of its workforce through cutting-edge automation. The brave and determined team accepted the challenge to turn this vision into reality.

How to Catch AI Code Mistakes Before They Reach Production

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.
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How to Centralize Incident Notifications in Slack

Even a brief outage in a critical service can disrupt projects. Customers get frustrated and flood the support team with tickets. What's the solution? Centralizing incident notifications and real-time status alerts in Slack. Many teams already collaborate there anyway. So let's take a look at how teams can streamline service monitoring, alerting, and incident workflows in Slack using integrations, automation, and tools like StatusGator.

90% AI Adoption. Still Failing. DORA Explains Why.

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.

How Developers Build a Meaningful Career in the Age of AI

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.

Arazzo vs Traditional Chatbots: What Actually Works?

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).

Stop Vibe Coding Everything: The Case for Spec-Driven Dev

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.

How to Catch AI Code Mistakes Before They Reach Production

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 Merge Conflict Resolution + Commit Messages in GitKraken Desktop

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.

How Strategic Partnerships Are Reshaping Modern Product Development

Product development rarely happens inside a single organization anymore. As software platforms grow more complex and industries become more interconnected, companies increasingly rely on external partners to help design, build, and deliver new products. Cloud providers, platform vendors, engineering partners, and specialized research organizations now play an essential role in modern development environments. Instead of building every component internally, many companies operate within ecosystems where collaboration across organizations is necessary to move products forward.