Context engineering
5 videos across 4 channels
Context engineering is the art of shaping prompts, system messages, and surrounding inputs to maximize AI performance, efficiency, and reliability. It encompasses practices like prompt caching, context management, and meta-system design (harnesses and agentic workflows) that enable faster, cheaper, and more robust AI-driven coding, product development, and decision making. By codifying how we frame problems, validate outputs, and orchestrate tools, teams can scale AI capabilities beyond single-model limitations.
GPT 5.4 + Codex CLI + Superpowers = 2.5 Hours of GOD MODE (FREE)
The video documents a creator's hands-on test of Codeex CLI (with the Superpower plugin) running for hours, highlighting
Build Hour: Prompt Caching
The session explains prompt caching and why it’s a powerful way to reduce latency and cost when using OpenAI models. It
🔥 Claude Code Down AGAIN? So I used a FREE Alternative (IT RAN FOR 2+ HOURS)
The video showcases how the creator uses Codeex connected with the Superpower plugin to build and iterate on pillar cont
The Powerful Alternative To Fine-Tuning
Ian discusses the rapid evolution of AI, introducing Poetic and its recursive self-improving meta-system that builds hig