Date
TBC
Duration
20 min
Location
TBC
Note: This session is included in the conference ticket, but specific program has not been finalised.
Everyone talks about using AI models, but few developers know how to extend them. In this talk, we’ll go one level deeper and build our own Model Context Protocol (MCP) server in Go. We will use one of the AI assistants (Claude, Augment, Gemini) to code it. You can use any language but Ladislav thinks AI using Go is super good and he will explain why.
MCP is an emerging standard that lets AI systems securely access tools, APIs, and real-world data. You’ll see how to design a minimal, production-ready MCP service, connect it to an AI client, and expose your own capabilities from querying observability data to automating workflows. We will extend capabilities of our coding agent with MCP server to help us in the future.
Ladislav Prskavec
Staff Engineer
Pure Storage
Staff engineer and SRE-minded architect focused on building reliable, observable distributed systems. Ladislav has worked primarily with Go, Kubernetes, and modern cloud infrastructure (AWS, OCI, Azure) to design scalable architectures and automation pipelines. He's passionate about developer productivity, system reliability, and how AI is changing the craft of engineering. When he's not debugging distributed traces, he explores new ways to combine AI with everyday developer tools.
