Knowledge / Generative AI

Prompting and Context Engineering

Instructions, demonstrations, structured outputs, context construction, and inference-time control.

By Siddhant Krishna · Published 2026-10-06 · Updated 2026-10-06

Prompt Structure

Task definition.
Relevant context.
Constraints.
Examples.
Output schema.
Verification requirements.

Context Engineering

Context engineering treats the entire model input as a system-design problem. Retrieved documents, conversation state, tool results, examples, and system instructions compete for limited context capacity and therefore must be selected deliberately.

References

Brown et al. (2020), Advances in Neural Information Processing Systems.
https://arxiv.org/abs/2005.14165
Vaswani et al. (2017), Advances in Neural Information Processing Systems.
https://arxiv.org/abs/1706.03762

Large Language ModelsToken prediction, scaling, pretraining, contextual representation, decoding, and emergent task capabilities.Retrieval-Augmented GenerationExternal knowledge retrieval combined with generative models.

Prompt Structure

Context Engineering

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