Context Engineering: CLAUDE.md and .cursorrules

75% of engineers use AI tools daily. Most organizations see no measurable productivity gains from them. Faros AI sums it up: "Clever prompts make for impressive demos. Engineered context makes for shippable software." When your AI coding agent enters a session without knowing your naming conventions, architecture patterns, or which directories to never touch, every session starts cold. That overhead compounds across every developer on every task. What Context Engineering Actually Is Context engineering has replaced prompt engineering as the skill that separates productive AI coding assistants from expensive autocomplete. Martin Fowler defines it as "curating what the model sees so that you get a better result." In practice, that means treating your agent's information environment as infrastructure -- architecting everything the model can access: project conventions, git history, team standards, tool definitions, and documentation. The distinction from prompt engineering matters. Prompt