Agents Instead of Manual Optimization: How We Stopped “Tuning” and Started Delegating [ukr]

Let’s be honest: in most teams, performance optimization only becomes a priority when something is already on fire. And even then, it’s usually handled by one or two people.

Not because others don’t care — but because real optimization requires a lot of time, context, and expertise.

At Temabit, we decided to experiment with a different approach: delegating part of the optimization work to agents.

In this talk, I’ll share what came out of it: how we learned to frame optimization tasks so agents can produce useful results, how we validate their suggestions, and why optimization turned out to be much harder to delegate than writing code — but potentially far more valuable.

Real cases, honest lessons, no hype. And one key question: how realistic is it to trust agents with the performance of your product?

Dmytro Shabanov
Temabit, Solution Architect
  • Builds distributed—and occasionally not-so-distributed—systems
  • Agents are part of his daily toolkit, used for everything from routine workflows to more unconventional scenarios
  • LinkedIn
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