Context Engineering Blog

The global market for prompt engineering is projected to grow from $505 billion in 2025 to over $6.5 trillion by 2034—a staggering 32.9% compound annual growth rate. This isn’t just a niche skill; it’s the core competency for unlocking the true value of generative AI. At its heart, artificial intelligence prompt engineering is the art and science of crafting precise instructions—or prompts—to get a Large Language Model (LLM) like GPT-5 to deliver exactly what you need.

Context engineering is the systematic process of designing, building, and optimizing the information pipeline that provides a large language model (LLM) with the precise, relevant data it needs to perform a task accurately. It’s the critical discipline that transforms a powerful but generic AI into a specialized, reliable expert.

Think of an LLM as a world-class surgeon. A prompt is the command to “perform the surgery.” Context engineering is the entire support system: the patient’s medical history, real-time vital signs, MRI scans, and the specific surgical tools laid out in perfect order. Without this system, the surgeon’s skill is useless.