A tool returns 214KB of logs. The window overflows, the agent's answers get worse, and nothing throws an error. Another agent retries the same call fourteen times on vague feedback. A third freezes seventeen seconds on a slow tool and times out. None of them crash. They just quietly cost you money and accuracy as your data grows. In this hands-on session you build the fix for all three yourself. Keep large tool outputs out of the window and pull them back by reference, so the data stops riding along on every turn. Give the agent a clear done signal and block repeat calls so a runaway loop drops from fourteen calls to two. Hand a slow tool back a tracking id and check on it later, turning a seventeen second freeze into under two. You run the broken version, build the fix, and compare the numbers. You leave with working code for all three, a simple rule for which fix each failure needs, and an open source repo. It works with any agent framework.

Outline: • Introduction: The Infinite Window Is a Myth • The Four Context Engineering Strategies • Module 1: Memory Pointer, Single Agent • Module 2: Memory Pointer, Multi Agent • Module 3: Compress Runaway Loops • Module 4: Isolate Slow Tools • Anti-Patterns, Decision Framework, Resources