Expertise
I build the tooling that lets AI agents work inside real codebases, ticket systems and CI – and tests, static analysis and human review still decide what ships.
Open to new roles · from 1 December
My own Jira MCP server gives coding agents 20 tools – search, create and transition issues, comments, attachments and Zephyr test runs – so they work straight from the team’s tickets.
Agent skills that reproduce a production bug from synced data, prove the root cause, create the Jira ticket, fix it with unit and Playwright tests and open the pull request.
LLM features wired into existing products: retrieval-augmented generation, embeddings and vector search, tool calling and structured outputs – with evals and guardrails instead of black boxes.
This site talks to AI agents: WebMCP tools in the browser, llms.txt and every page as Markdown – generated from the same build as the HTML.
Real projects, real numbers – the full list is on the references page.
Messerle Shop
Agent skills that take a bug from report to pull request: reproduce it from synced data, prove the root cause, create the Jira ticket, fix it with unit + Playwright E2E tests and pass the PHPUnit/PHPStan gate.
Jira × coding agents
A Model Context Protocol server with 20 tools – issues, transitions, comments, attachments and Zephyr test runs – that lets coding agents work straight from the team's Jira.
balazscsorba.com
This site talks to AI agents: WebMCP tools in the browser, llms.txt and llms-full.txt, and every page as Markdown via content negotiation – all generated from the same build.
The Model Context Protocol (MCP) is an open standard that lets AI assistants and coding agents use tools and data from other systems. An MCP server wraps a system – Jira, for example – in well-described tools, so an agent can search issues or log test runs without custom glue code.
Yes, if the guardrails are real. In my pipelines unit and end-to-end tests, static analysis and CI gates decide what ships – and every change still goes through human review.
Claude Code and agent skills, OpenCode and Codex day to day, and the Anthropic and OpenAI APIs for LLM features inside products.
In Voitsberg, west of Graz in Styria, Austria. Available from 1 December – remote from Voitsberg (AT) or hybrid.
Open to new roles · from 1 December. The quickest way to reach me is e-mail or LinkedIn.
English, German and Hungarian.
Tell me about your project or role – I’d love to hear from you.