> Markdown version of [/videos/100439-context-engineering-kung-fu](https://www.wearedevelopers.com/videos/100439-context-engineering-kung-fu). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Context Engineering Kung Fu Large language models suffer from anterograde amnesia, making context engineering the true battleground for agent reliability. Master advanced state management and deferred tool loading to eliminate costly context rot. - **Speakers:** [Carl Lapierre](https://www.wearedevelopers.com/@carl-lapierre) - **Event:** World Congress 2026 North America - **Published:** September 25, 2026 - **Duration:** 30:51 - **URL:** https://www.wearedevelopers.com/videos/100439-context-engineering-kung-fu ## Access Playback and chapters for this video are available with a Free account. ## Related Moments - [Defining context engineering and core strategies](https://www.wearedevelopers.com/videos/100516-context-engineering-how-machines-remember-and-forget) (from "Context Engineering: How machines remember and forget") - [Identifying common context window failure modes](https://www.wearedevelopers.com/videos/100516-context-engineering-how-machines-remember-and-forget) (from "Context Engineering: How machines remember and forget") - [Introduction to context engineering in AI](https://www.wearedevelopers.com/videos/100516-context-engineering-how-machines-remember-and-forget) (from "Context Engineering: How machines remember and forget") - [Ensuring portability across evolving agent platforms](https://www.wearedevelopers.com/videos/100132-the-agent-interface-layer-protocols-tools-and-trust-boundaries) (from "The Agent Interface Layer: Protocols, Tools and Trust Boundaries") - [The finite context problem and agent memory](https://www.wearedevelopers.com/videos/100516-context-engineering-how-machines-remember-and-forget) (from "Context Engineering: How machines remember and forget") - [Understanding agent internal loops and context compaction](https://www.wearedevelopers.com/videos/100034-agentic-ai-building-autonomous-systems-for-developers) (from "Agentic AI: building autonomous systems for developers") ## Related Articles - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Introducing Redis Agent Memory Server](https://www.wearedevelopers.com/magazine/699-introducing-redis-agent-memory-server) - [Never delegate the understanding](https://www.wearedevelopers.com/magazine/749-never-delegate-the-understanding) - [ I Gave a Video Editor More Autonomy Than a Trading Bot. On Purpose.](https://www.wearedevelopers.com/magazine/773-i-gave-a-video-editor-more-autonomy-than-a-trading-bot-on-purpose) ## Related Jobs - [LLM Training Engineer](https://www.wearedevelopers.com/jobs/48420-llm-training-engineer) at **Sciforium** - [Senior AI Developer](https://www.wearedevelopers.com/jobs/ext/2836034-senior-ai-developer) at **PwC** - [Lead Software Engineer, Model Serving Platform](https://www.wearedevelopers.com/jobs/48413-lead-software-engineer-model-serving-platform) at **Sciforium** - [ML Engineer](https://www.wearedevelopers.com/jobs/48422-ml-engineer) at **Sciforium** - [Model Implementation Engineer](https://www.wearedevelopers.com/jobs/48421-model-implementation-engineer) at **Sciforium** - [ML Engineer](https://www.wearedevelopers.com/jobs/48448-ml-engineer) at **Docker, Inc.**