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.
Try it in your own project: repair a stale handoff, copy the template, and check the next session.
6 episodes
- Slack Wants to Be the Context Harness for Code | CPO Jaime DeLanghe
- 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
- Can an AI Agent Run Your Workday?
- Context Poisoning: Why Good Models Still Fail
- 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
Jaime DeLangheJerry LiuRichmond AlakeMichel TricotAishwarya SrinivasanAurimas Griciūnas