Context engineering for coding agents: moving from pasted docs to a queryable knowledge base

Short summary

Coding agents default to internet-average knowledge because they share the same frontier weights and training data. The real differentiator is context engineering — attaching your team's knowledge base to the agent via a queryable, on-demand retrieval system rather than pasting docs into context. The post outlines a three-tier maturity model (no KB, pasted context, served KB) and shows how to build a knowledge-query tool using agentproto's operator and tool contracts.

• •Frontier coding agents produce near-identical answers because they share weights and training data
• •Context engineering has replaced prompt engineering as the key differentiator
• •Three-tier model: no KB (Tier 0), pasted context (Tier 1), queryable served KB (Tier 2)

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