Building the Context Engine AI Agents Need

AI coding agents aren't failing because they lack intelligence - they're failing because they lack context.

Brandon Waselnuk introduces the context engine: a reasoning layer that continuously synthesizes organizational knowledge, resolves conflicting sources, and delivers identity-scoped, token-optimized context so your agents produce correct, org-aware code instead of triggering costly correction loops.