In the news
The rise of "context engineering"
LangChain · Published · 3 min read
In 30 seconds
- What happened
- Context engineering, building dynamic systems to deliver the right information and tools in proper format to LLMs, is becoming the critical skill for AI engineers building agent systems.
- Why it matters
- Engineers developing LLM agents should focus on context engineering when their systems fail unreliably, as most failures stem from missing or poorly formatted context rather than model limitations.
- Watch out
- Context engineering is distinct from but overlaps with prompt engineering; it requires controlling exactly what data and tools reach the LLM, which some agent frameworks restrict through abstraction.
Listen to this summary
- llm
- context engineering
The patterns behind this
- Agentic Context Engineering (Evolving Playbook)
- Context Engineering Frameworks
- Eval-Driven Development (Agent CI)
Each one covers how the technique works, when it earns its cost, and where it breaks.
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