How Agents Expand AI Context

Description

“An agent is really just a wrapper around your LLM.” Maksim Shaposhnikov, AI Research Engineer at Tessl explains why this matters: • it continuously updates the context with generated files, logs, and bug fixes • sub-agents keep independent context windows to tackle multi-part tasks • this setup expands memory and lets AI scale problem solving efficiently Watch the full episode with Simon Maple now. Link in the comments.