What Is Context Engineering In AI? Techniques, Use Cases, And Why It Matters - Data Intelligence

Forget Prompts — It’s Context Engineering That Matters

The hottest trend in AI isn’t prompt hacking — it’s building smarter systems, from chatbots to analytical AIs, by curating what surrounds the prompt. Welcome to the age of context engineering.Move Over Prompts—Context is King NowThere’s a new buzzword elbowing its way into the AI conversation, and it’s not another flavor of “GPT-something.” It’s context engineering, and if that sounds like consultant-speak for organizing your junk drawer, think …

What Is Context Engineering In AI? Techniques, Use Cases, And Why It Matters - Data Intelligence

Introduction: What is Context Engineering? Context engineering refers to the discipline of designing, organizing, and manipulating the context that is fed into large language models (LLMs) to optimize their performance. Rather than fine-tuning the model weights or architectures, context engineering focuses on the input—the prompts, system instructions, retrieved knowledge, formatting, and even the ordering of information. Context engineering isn…

What Is Context Engineering in AI? Techniques, Use Cases, and Why It Matters

Introduction: What is Context Engineering? Context engineering refers to the discipline of designing, organizing, and manipulating the context that is fed into large language models (LLMs) to optimize their performance. Rather than fine-tuning the model weights or architectures, context engineering focuses on the input—the prompts, system instructions, retrieved knowledge, formatting, and even the ordering of information. Context engineering isn…