Hi 馃憢, I'm Alex.
I'm a Product Director at Kentico, where I lead Developer Experience, with a soft spot for APIs, developer tooling, and figuring out where AI actually helps.
I started out as a software engineer and still tend to think like one. These days I lead a team of ten and set the direction for the tooling, resources and workflows developers use to build with Kentico. I also write and speak about DevEx, AI, APIs and the increasingly blurry space between product and engineering.
Looking for help with AI adoption or changing how your teams work? See how that works.
A short version.
Experience spanning software engineering, APIs, Developer Experience, product leadership and AI adoption, including senior roles at Kentico and Tricentis.
I鈥檓 a Product Director at Kentico, where I lead Developer Experience: responsible for the direction of our developer tooling and leading a team of ten working on how developers build with our platform.
I still tend to think about most problems like a software engineer.
I鈥檝e spent my career moving between software engineering, APIs, developer experience, product and, more recently, AI. The titles have changed quite a bit, but the problems I enjoy usually haven鈥檛: figuring out why something is harder than it needs to be, understanding what is actually getting in people鈥檚 way, and finding a practical way to make it better.
I鈥檓 interested in new technology, but I鈥檓 not particularly loyal to tools, frameworks or hype cycles. If something helps people solve a real problem, great. If it creates three new ones, I鈥檓 less impressed.
I write and speak about developer experience, AI adoption, APIs, developer tooling and the increasingly blurry space between product and engineering.
Outside work, I鈥檓 still a computer enthusiast at heart. I geek out on history, languages, games and whatever technical rabbit hole has caught my attention that week.
Latest posts.

The 80% Opportunity: AI Adoption Without the Code Obsession
Stop obsessing over AI-generated code. The real opportunity is the other 80% of engineering work: understanding, operating, learning, and verifying. Here's how we approached AI adoption at Kentico.

Key Concepts for Working with AI
The essential concepts you need to understand to start working with AI tooling: models, tokens, agents, prompting, context, and the Model Context Protocol.

AI in 2025: What a Time to be Alive!
A snapshot of AI in 2025 covering key concepts, clarifying misused terms, and practical tips for working with LLMs and navigating the current state of AI in the tech industry.
Talks, workshops, and the odd podcast.
Got a project, a question, or just want to chat?
I'm always open to a conversation. If I can't help directly, I might know someone who can.