Engineering the Agentic Stack
In order. Start at the loop.
Production AI systems · Berlin
I design production AI systems across software engineering, agents, evaluation, retrieval, security, and infrastructure—turning traces and failures into controlled experiments, reliable releases, and safer behavior.
Automate the experiment, not the authority to declare it safe.
In order. Start at the loop.
Build the harness, then measure each change.
From failure traces to tested changes.
Most read
The same support tasks as an agent, an agent with approval, an agent in a workflow, a router and a workflow with no agent, compared on one test set.
How task requirements shape an agent harness: choosing control flow, tools, code execution, state, permissions and evidence before choosing a framework.
Turn one wrong answer from an agent's memory tool into a tested improvement, then check whether a plain script could have found the same fix without an LLM.
About
I’m Slava Dubrov, a Staff AI System Engineer with a doctoral degree in AI diagnostics. I work across software engineering, agent systems, evaluation, retrieval, security, and production infrastructure.