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AI Inference EngineeringQuantization, batching and KV caching in production.System DesignScalable systems from first principles.Context EngineeringDesigning the context that LLMs actually reason over.Docker & KubernetesContainers and orchestration, explained.

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Context Engineering

Tokenization & Embeddings3

Attention & the Context Window4

Prompt & Context Construction4

The anatomy of a well-engineered prompt
Few-shot prompting and in-context learning
Chain-of-thought and giving the model room to think
Lost in the middle: why context ordering matters

Retrieval-Augmented Context5

Memory & Long Context4

Advanced Context Engineering7

Evaluation & Scoring6

Context Designing7

Lessons

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Context Engineering

Tokenization & Embeddings3

Attention & the Context Window4

Prompt & Context Construction4

The anatomy of a well-engineered prompt
Few-shot prompting and in-context learning
Chain-of-thought and giving the model room to think
Lost in the middle: why context ordering matters

Retrieval-Augmented Context5

Memory & Long Context4

Advanced Context Engineering7

Evaluation & Scoring6

Context Designing7

Learn Context Engineering Prompt & Context Construction

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Few-shot prompting and in-context learning

How showing a model two or three examples inside the prompt can change its behavior more than paragraphs of instructions — and why this even works at all.

8 min readUpdated 2026-09-03context-engineeringfew-shotin-context-learning