Baruch Sadogursky (@jbaruch) did Java before it had generics, DevOps before there was Docker, and DevRel before it had a name. He started DevRel at JFrog when it was ten people and took it all the way to a successful $6B IPO by helping engineers solve problems. Now, Baruch keeps helping engineers solve problems, but also helps companies help engineers solve problems. He is a co-author of the "Liquid Software" and "DevOps Tools for Java Developers" books, Java Champion and CNCF Ambassador alumni, serves on multiple conference program committees, and regularly speaks at numerous most prestigious industry conferences, such as DevNexus, DevOpsDays, Voxxed Days, Devoxx, DevRelCon, Kubecon and QCon. Today, he enables AI agents for every developer out there at Tessl.
Your agent has 100k tokens of context. It still forgets what you told it two messages ago. Context engineering treats what your agent knows as an architecture decision — one you can design, test, and version.
This talk dissects four antipatterns: the Stuffed Prompt (cramming everything into the system prompt), the Wrong Tool for the Job (retrieval when rules suffice), the Goldfish Agent (no memory across sessions), and Vibes Eval (judging quality by gut feel). For each, we'll diagnose the failure, show the fix, and demonstrate the difference live with a coding agent.
You'll leave with four checks you can run on your own agent Monday morning, and a decision framework for context architecture that doesn't require a PhD in prompt engineering.
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