Context Management
Engineering what the model sees at inference time.
Context management is the work of deciding what information goes into a model’s context window at inference time — context engineering, windowing, and guarding against failure modes like context poisoning and context rot that degrade an agent’s reasoning.
5 episodes
- The AI Framework Era Is Over: Why Context Is the Moat | Jerry Liu
- Agent Memory: The Last Battleground in the AI Stack | Richmond Alake, Oracle
- Context Poisoning Is Killing Your AI Agents: How to Stop It
- Architecting AI Agents: The Shift from Models to Systems | Aishwarya Srinivasan
- From Demo to Defensibility: How to Build an AI Business that Lasts | Aurimas Griciūnas
Explainers on this topic
- The 5 Sources of Context an AI Agent Needs
- Do You Still Need an AI Agent Framework?
- Prompt vs. Context vs. Memory Engineering
- The 5 Sources of Context an AI Agent Needs
Terms on this topic
Essay on this topic
Guests on this topic
Jerry LiuRichmond AlakeMichel TricotAishwarya SrinivasanAurimas Griciūnas