Thoughts on AI Engineering, Solutions Architecture, and building modern software.
When connecting core systems to LLMs today, my CPU barely computes – it just waits. Sequential code becomes a fatal bottleneck. The solution: AsyncIO and the principle of concurrency on a single thread.
Read more →When I got my computer science degree, the world was binary: if (x) then y. Today, the shift from absolute logic to probabilities fascinates me – and what that means for an engineer coming from the world of strict typing.
Read more →How many weeks of our professional lives have we spent writing CRUD interfaces or database migrations? AI is massively shifting the focus – away from code-shoveling, toward system design.
Read more →In classical software development, there were no nuances. Today, I'm exploring in my AI showcase experiments how an agent recognizes the urgency of a request and adjusts workflow priority accordingly.
Read more →As a computer science graduate, my journey started deterministically: object-oriented design, fixed contracts, predictable systems. On my current path into AI Engineering, I face a new architectural break – and Pydantic is the bridge.
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