Tech
Context Engineering for AI Agents: Why the Build Is Easy and the Context Is Not (2026)
Verdict: In 2026, building a working AI agent is close to a solved problem. Durable state, sandboxed execution, and observability are now platform primitives, not quarter-long engineering projects. What still breaks agents in production is not the model and not the scaffolding. It is missing context: the decisions, discussions, and tribal knowledge that live outside the code and the ticket the agent was handed. The fix is a deliberate context layer, and this guide shows you how to build one.
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