Tag
Context Engineering
English articles and guides tagged Context Engineering.
What MCP changes is not tool access, but the cost structure of Agents.
The real significance of MCP is not just to unify tool access, but to move a large number of intermediate processes that should be handled by the runtime out of the expensive LLM cycle. What it changes is not 'how many tools can be connected', but how the agent uses context, code execution and runtime control flow. This article is based on Anthropic's discussion of code execution with MCP and extends my complete understanding of direct tool-calling, progressive disclosure, runtime economics and executable skills.
Agent Harness is not a supporting role, but the most underrated main battleground of AI engineering in 2026
What really determines the upper limit of an agent is often not the model itself, but the harness organized around the model. This article is based on LangChain's disassembly of the agent harness, extending my complete understanding of file systems, code execution, context management, verification closed loops and long-term task endurance. It also explains why the focus of AI engineering competition in 2026 is shifting from 'model capabilities' to 'working system design'.
Original Interpretation: Contextual Engineering—The Forgotten Core Battlefield in the AI Era
An in-depth analysis of the essential challenges of Agent memory systems and why context management is the key to determining the success or failure of AI products.