GoodData.AI Czech Republic

Tomorrow: a practical session on building agentic analytics that actually scales.

Peter Fedorocko and Rosta Striz will cover how to separate MCP tools, skills, and agents, how to design reusable skills that work across both deterministic workflows and dynamic assistants, and how governance fits into the architecture from day one.

April 28 | 9:00 AM PT | 6:00 PM CET

Save your seat: https://hubs.ly/Q04cYCzQ0

Skills, Agents, and Workflows: The Architecture Behind Reliable, Governed Agentic AI In this live session, you'll learn about the architecture needed to build governed, production-ready AI that lasts.

AI makes ex*****on faster. And it makes good judgment more important.

That's what Matyas Kandl, Senior Principal Software Engineer at GoodData, has found after integrating AI into every part of his workflow.

AI agents now handle search, brainstorming, analysis, planning, and implementation. He runs multiple in parallel across different tasks. His role has shifted toward assigning, reviewing, and monitoring — and getting better at directing them effectively.

The speed is real. Faster iterations, faster feedback loops. Work that would have been deprioritised for taking too long is now worth attempting.

👉 But that's exactly where it gets harder.

When ex*****on is no longer the bottleneck, the decisions about what to build — and what not to build — carry more weight. You can do things you couldn't before. That doesn't mean you should. Decision-making has higher impact than ever, and the engineers who get the most out of AI are the ones who recognise that.

On quality, Matyas is clear-eyed. AI doesn't deliver high quality code by default. You have to push it, iterate, and stay involved. A human working with AI can outperform a human working without it — but it takes real effort and judgment to get there.

At GoodData, our engineers aren't just using AI to move faster. They're using it to make better calls about where to move at all.

Stay tuned for more behind-the-scenes stories from our team.