MCP

Most AI agent setups that disappoint their teams don’t disappoint because the model is wrong. They disappoint because the agent was asked to reason about systems it can’t see. A triage agent without PagerDuty access produces a vague analysis. An on-call agent without metrics hallucinates a root cause from alert titles. The agent isn’t bad; it’s undercontexted. Context engineering is the long game, and it has a structure. Specifically, it has four techniques — not a staircase. Each one matches a different shape of context source, and which ones apply depends on what you already have. A team with a CLI-heavy internal stack will spend most of its effort on technique 3. A team whose vendors all expose public MCPs might never touch technique 2. What remains true, regardless, is that technique 4 — bundling — is what turns any subset of the others into a team asset. ...