When ChatGPT burst onto the scene, the AI community became obsessed with one thing: prompt engineering. Everyone was racing to craft the perfect prompt—the magical combination of words that would unlock the model's full potential.
And it worked… until it didn't.
While prompt engineering remains valuable for simple, one-off queries using public information, it quickly shows its limitations when tasks require internal data, multiple tools, or memory across conversations. This is where Context Engineering emerges as the true game-changer for enterprise AI implementation.
The Limitations of Prompt Engineering Alone
Prompt engineering focuses on crafting and refining the instruction tha