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Data Structures & AlgorithmsComplexity analysis up to graphs and DP.Operating SystemsProcesses, scheduling, memory and concurrency.Database Management SystemsRelational modelling, transactions and indexing.Computer NetworksFrom wires and radio waves up to the web.

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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

Retrieval-Augmented Context5

Memory & Long Context4

Advanced Context Engineering7

Evaluation & Scoring6

Context Designing7

What is Context Design? Going from theory to production
Designing the context data pipeline
Choosing an embedding model for production
Choosing a vector database
Caching and latency design for context-heavy systems
Guardrails and observability
Capstone: designing a production context system end to end

Lessons

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Context Engineering

Tokenization & Embeddings3

Attention & the Context Window4

Prompt & Context Construction4

Retrieval-Augmented Context5

Memory & Long Context4

Advanced Context Engineering7

Evaluation & Scoring6

Context Designing7

What is Context Design? Going from theory to production
Designing the context data pipeline
Choosing an embedding model for production
Choosing a vector database
Caching and latency design for context-heavy systems
Guardrails and observability
Capstone: designing a production context system end to end

Learn Context Engineering Context Designing

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Caching and latency design for context-heavy systems

Prompt caching, prefix caching, embedding caching, and semantic caching — how production systems keep context-heavy LLM applications fast and affordable.

9 min readUpdated 2026-09-03context-engineeringcontext-designcachinglatency