Context engineering in AI goes beyond basic prompt crafting by strategically shaping the model’s background knowledge, constraints, and framing to produce higher-quality outputs. Unlike prompt engineering, which focuses on the immediate input, context engineering defines the AI’s role, provides relevant examples, and sets guardrails—making it invaluable for software engineers and DevOps professionals who need precise, production-ready code, debugging insights, or infrastructure optimizations.