Vizuara Books
AI Context Engineering
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Vizuara AI Labs · intermediate

AI Context Engineering

Engineer the context window like a system.

Move past prompt engineering to treat everything an LLM sees — instructions, tools, retrieved knowledge, and memory — as one engineered system. Learn the four strategies (write, select, compress, isolate), then build RAG, MCP tools, memory, and agents from scratch.

intermediatecontext-engineeringagentsragmcp
43 capsules200 figures~10 hoursby Dr. Raj Dandekar

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00Context Foundations6 capsules

Context Foundations — 6 chapters.

01Why Context Engineering, Not Prompt Engineeringconceptfree12 min02Software 1.0, 2.0, and 3.0concept🔒12 min03Anatomy of the Context Windowconcept🔒13 min04The Four Strategies: Write, Select, Compress, Isolateconcept🔒14 min05Context Failure Modes: Poisoning, Distraction, Confusion, Clashdeep-dive🔒16 min06Your First Context Lab: Measuring Tokens and Effectscode🔒11 min
01The Instructional Layer5 capsules

The Instructional Layer — 5 chapters.

07System Prompts as Programsconcept🔒13 min08Instructions, Examples, and Guardrailsintuition🔒15 min09Designing Roles and Personasintuition🔒11 min10Structured Output and Formatting Contractscode🔒14 min11Instructional Layer Labcode🔒14 min
02Write and Select: RAG7 capsules

Write and Select: RAG — 7 chapters.

12Write vs Select: Two Halves of Knowledge Injectionconcept🔒15 min13Why RAG Exists: Grounding, Freshness, and Costconcept🔒15 min14Chunking and Embeddingsmath🔒14 min15Vector Search and Retrievalcode🔒14 min16Reranking and Hybrid Searchdeep-dive🔒14 min17Building a RAG Pipeline End-to-Endproject🔒17 min18RAG Lab and Interactive Quizcode🔒16 min
03Tools and MCP6 capsules

Tools and MCP — 6 chapters.

19Tools as Context: Giving the Model Handsconcept🔒15 min20Tool-Calling Mechanicscode🔒13 min21What Is MCP? The Model Context Protocolconcept🔒13 min22MCP Servers and Clientscode🔒15 min23Building a Useful MCP Server and Clientproject🔒14 min24Tool-Context Hygienedeep-dive🔒14 min
04Compress and Isolate5 capsules

Compress and Isolate — 5 chapters.

25Why Compress: The Token Budget Is Finiteconcept🔒13 min26Summarization and Pruning Strategiesintuition🔒13 min27Isolation: Quarantining Context Across Sub-Agentsconcept🔒14 min28Multi-Agent Context Boundariesdeep-dive🔒14 min29Compress and Isolate Labcode🔒14 min
05Memory Architectures5 capsules

Memory Architectures — 5 chapters.

30The Stateless LLM Problemconcept🔒13 min31Short-Term vs Long-Term Memoryconcept🔒14 min32Episodic, Semantic, and Procedural Memoryintuition🔒15 min33Building Memory with Retrievalcode🔒13 min34Memory Architectures Labcode🔒16 min
06Setting Up the Build Workflow4 capsules

Setting Up the Build Workflow — 4 chapters.

35A Coding-Agent Build Workflowconcept🔒11 min36Claude Code and OpenClawconcept🔒13 min37Context Files and Repo Hygienecode🔒14 min38Workflow Setup Labproject🔒13 min
07Capstone Builds5 capsules

Capstone Builds — 5 chapters.

39Capstone: Building an Email Agentproject🔒13 min40Mega Build: Driving Claude Code End-to-Endproject🔒12 min41OpenClaw and RL Agentsdeep-dive🔒14 min42Building Conversational Voice Agents for Bharatproject🔒16 min43Putting It All Together: A Context-Engineering Playbookconcept🔒15 min

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