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Agent bootcamp week4 (#172)
* initial structure for week 4 * style updates * updates * updates * update day 21 * formatting * day 22 updates * formatting * format * day 18 updates * updates * updates * formatting
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‎agents/30-days-of-agents/context-engineering.mdx‎

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---
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title: "Week 4: Context Engineering - Building Intelligent Information Systems"
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sidebarTitle: "Context Engineering"
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description:
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"Master the art of context engineering - building dynamic systems that provide
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the right information and tools in the right format to enable agents to
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accomplish complex tasks effectively."
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---
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![Agents Bootcamp: Context Engineering - Week 4](/images/agents/30-days-of-agents/bootcamp-week-4.png)
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Welcome to Week 4! You've mastered agent fundamentals, built custom agents, and
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specialized in domain-specific applications. Now you'll dive deep into **context
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engineering** - the critical discipline of designing systems that provide agents
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with the right information, tools, and context to accomplish complex tasks
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effectively.
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Context engineering is what separates basic chatbots from truly intelligent
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agents that can reason about complex problems and take meaningful actions.
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## What's context engineering?
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**Context engineering** is the process of building dynamic systems to provide
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the right information and tools in the right format such that language models
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can plausibly accomplish complex tasks. Context engineering is the bridge
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between raw data and actionable intelligence.
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Context engineering encompasses:
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- **Prompt Engineering**: Crafting instructions that guide agent behavior and
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reasoning
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- **Retrieval & RAG**: Connecting agents to relevant, real-time information
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sources
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- **Tool Use**: Enabling agents to interact with external systems and APIs
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- **Memory & State**: Managing conversation history and maintaining context
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across interactions
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- **Structured Outputs**: Ensuring agents produce reliable, formatted responses
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- **Information Architecture**: Organizing knowledge for optimal agent access
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and reasoning
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## Why context engineering matters
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The difference between a helpful agent and a transformative one often comes down
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to context engineering:
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**Without proper context engineering:**
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- Agents hallucinate or provide outdated information
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- Responses are generic and lack domain-specific insight
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- Tool usage is inconsistent and unreliable
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- Complex tasks fail due to information gaps
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**With sophisticated context engineering:**
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- Agents access current, relevant information dynamically
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- Responses are grounded in real data and domain expertise
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- Tool usage is strategic and purposeful
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- Complex workflows execute reliably with proper information flow
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## Week 4 learning path
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This week builds your expertise in the core components of context engineering:
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### Days 16-17: Prompt and message engineering
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Master the fundamentals of communication with language models through structured
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prompts and optimized user messages.
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### Days 18-20: Retrieval systems
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Implement sophisticated information retrieval systems using PostgreSQL, MongoDB,
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and Neo4j to provide agents with dynamic access to relevant data.
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### Days 21-22: Advanced graph knowledge systems
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Explore cutting-edge knowledge graph approaches using Dgraph for complex
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reasoning and relationship modeling.
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<CardGroup cols={2}>
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<Card
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title="Day 16: agent system prompts"
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href="/agents/30-days-of-agents/day-16"
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>
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Master prompt structure, iteration techniques, tool use optimization, and structured output generation for reliable agent behavior.
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</Card>
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<Card
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title="Day 17: agent user messages"
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href="/agents/30-days-of-agents/day-17"
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>
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Learn best practices for crafting user messages that elicit optimal agent
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responses and enable complex task completion.
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</Card>
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<Card
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title="Day 18: retrieval with postgresql"
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href="/agents/30-days-of-agents/day-18"
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>
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Build RAG systems with Supabase and PostgreSQL, implementing semantic search
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over structured product catalogs.
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</Card>
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<Card
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title="Day 19: retrieval with MongoDB"
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href="/agents/30-days-of-agents/day-19"
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>
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Implement document-based retrieval systems using MongoDB Atlas for
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unstructured data like product reviews and feedback.
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</Card>
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<Card
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title="Day 20 - GraphRAG with Neo4j"
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href="/agents/30-days-of-agents/day-20"
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>
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Explore graph-based retrieval augmented generation using Neo4j for complex
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relationship reasoning and knowledge discovery.
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</Card>
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<Card
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title="Day 21: dgraph data modeling"
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href="/agents/30-days-of-agents/day-21"
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>
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Learn advanced graph data modeling concepts with Dgraph, building
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sophisticated knowledge graphs from real-world data.
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</Card>
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<Card
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title="Day 22: dgraph querying"
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href="/agents/30-days-of-agents/day-22"
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>
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Master DQL (Dgraph Query Language) for complex graph queries and integrate Dgraph with your agents using multiple client libraries.
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</Card>
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</CardGroup>
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## The context engineering mindset
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Effective context engineering requires thinking systematically about information
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flow:
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- **Information architecture** How should knowledge be structured for optimal
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agent access?
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- **Retrieval strategy** What information does the agent need, when, and in what
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format?
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- **Tool orchestration** How should agents coordinate multiple information
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sources and tools?
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- **Quality assurance** How do we ensure information accuracy and relevance?
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- **Performance optimization** How do we balance information completeness with
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response speed?
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## Real-world applications
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By the end of Week 4, you'll be able to build agents that:
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- **Customer Support Agents** that dynamically retrieve product information,
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order history, and knowledge base articles
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- **Research Assistants** that synthesize information from multiple databases
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and external sources
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- **Business Intelligence Agents** that query complex data relationships and
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provide actionable insights
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- **Content Creation Agents** that access brand guidelines, style guides, and
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historical content for consistent output
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## Prerequisites
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- Completion of Weeks 1-3 (agent fundamentals and domain specialization)
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- Access to Hypermode Pro for advanced integrations
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- Willingness to work with databases and data modeling concepts
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<Card
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title="Ready to Start Week 4?"
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icon="arrow-right"
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href="/agents/30-days-of-agents/day-16"
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>
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Begin with Day 16: agent system prompts - master the foundation of agent
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communication and behavior guidance.
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</Card>
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---
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_Transform your agents from conversational tools to intelligent systems that
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reason about complex problems with sophisticated context engineering._

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