From Prompt Engineering to Context Engineering: How Production Agents Actually Work in 2026
📰 Dev.to AI
Learn how context engineering is crucial for production agents in 2026, moving beyond prompt engineering to control the information agents see on every call
Action Steps
- Identify the key factors that influence agent context
- Design and implement context engineering strategies to control information flow
- Test and refine agent performance using context engineering techniques
- Integrate context engineering with prompt engineering for optimal results
- Monitor and analyze agent performance to inform future context engineering decisions
Who Needs to Know This
Infrastructure teams and AI engineers working on scaling agents from pilots to production will benefit from understanding context engineering to improve agent performance
Key Insight
💡 Context engineering is a critical discipline that focuses on controlling the information agents see on every call, rather than just relying on prompt engineering
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🤖 Context engineering is the new key to unlocking production agent performance in 2026! 🚀
Key Takeaways
Learn how context engineering is crucial for production agents in 2026, moving beyond prompt engineering to control the information agents see on every call
Full Article
From Prompt Engineering to Context Engineering: How Production Agents Actually Work in 2026 When I talk to infrastructure teams scaling agents from pilots to production, they mention the same problem over and over: "We thought we could just write better prompts. But what we're actually fighting is something completely different: what information the agent sees on every call ." This is context engineering. And it's become the core discipline separating
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