## Metadata - Author: [[Dan Poppy]] - Full Title:: The Context Engineering Playbook - Category:: #🗞️Articles - URL:: https://roundup.getdbt.com/p/the-context-engineering-playbook - Read date:: [[2026-07-03]] ## Highlights > **The biggest reliability gains are unglamorous.** Fancy context sources don’t move the needle as much as you’d hope. Cleaning up her data model and writing good documentation is what took Claire’s agent from 40% to 90% reliability. [Anthropic found the same thing](https://claude.com/blog/how-anthropic-enables-self-service-data-analytics-with-claude): query logs added little; keeping your house in order added a lot. ([View Highlight](https://read.readwise.io/read/01kwkcpbq8v8bsgdka40fzw2v7)) > Is “context engineer” a real job title? > Yes, I know data people who were renamed context engineers, so it’s already happening. Data teams are the perfect fit. Analytics engineering was about gathering business knowledge from stakeholders and translating it into something structured and technical. Context engineering is exactly that. ([View Highlight](https://read.readwise.io/read/01kwkcrfxfw4wvgp1sq2ktj466)) > When I redid parts of the data model and wrote documentation, I got to about 90%. It’s deep work to keep a data model clean and unambiguous, but it pays off with agents. ([View Highlight](https://read.readwise.io/read/01kwkcs011yb5e8wqbvnv1hr7w)) > query through MetricFlow first, and if you don’t find it, read the dbt docs and write regular SQL. ([View Highlight](https://read.readwise.io/read/01kwkctqjbm9wdffgx508c955a))