Latest / Software Engineering Daily
Unlocking the Data Layer for Agentic AI with Simba Khadder
AI agents are increasingly capable of reasoning and performing autonomous work over long periods. However, as agents take on more complex, longer-horizon tasks, keeping them supplied with the right information becomes the core engineering challenge. The industry is moving away from pre-loading context upfront toward a model where agents dynamically navigate and retrieve the data they need, when they need it.
Redis is approaching context management using a context engine, which is an architecture built around four pillars: on-demand context retrieval, data that is always current, fast…
The skinny
The skinny isn't ready yet — notes appear once the transcript is processed.