How Poor API Architecture Makes AI Agents Expensive - Sebastian Małyska

Episode notes

When end-to-end automation is the answer and when it is the wrong question With Sebastian Malyska I talk about what sits behind the APIs testers often take for granted. We get into why REST is still on top but not the whole story, how GraphQL and webhooks fit into the picture, and what actually happens when an AI agent talks to a real system through MCP. There is a practical argument running through all of it: if you understand the protocol layer, you can make smarter decisions about where to test, how to structure automation, and how to avoid burning unnecessary tokens and budget. Sebastian also makes the case that front-end testers are already closer to this world than they think, and that the next step in the career is simply to look one layer down. "Improving is not like giving you know golden card to AWS, give me more resources. But this is the hard way, this is engineering way." - Sebastian Małyska Sebastian Małyska is a software quality enthusiast with over 20 years of experience proving that “it works on my machine” is not a testing strategy. Has worked as a manual tester, automation engineer, QA Lead, and QA Manager, basically wherever quality (or patience) was missing.

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