Agentic Context Engineering. #contextengineering #aishorts #shorts #youtubeshorts #shortsvideo #ai

Key Takeaways

too much of context is also not good. That's what I'm trying to say. So, how do we now design context in a better way? That's what agentic context engineering is all about. And even if the context is too big, uh you know, LLM's kind of start finding problems. They cannot reason well because context is too much. So, there's a problem of lost in middle kind of a thing, right? A context engineering a design pattern have a generator, you have a reflector and you have a curator, right? And it's h it has an iterative refinement uh mechanism built into this because it has something called content playbook. And this playbook gets updated. Now if you don't have an intelligent way to uh store your context, it will become bigger and bigger right in your file system whatever it's a DB whatever you have been using. Now that's important that you don't update the playbook every time. You only update when it is required. So those kind of intelligence is like done through this ace framework. So the specialized component that you see here and I have created it over here as well you know that that's how it works. Why current AI systems don't learn because of the static nature of most AI rather take your input generate an answer and forget the context afterwards right if not designed properly generator which is having a role of creator reflector which is having a role of analyst and curator which is having a role of archivist which archives your you know uh playbook. Okay. updates playbook with insights and feedback.