Walk into any engineering leadership meeting today, and someone will question whether AI-generated code is secure or whether agents can be trusted in production. These are valid concerns, but they don’t determine whether your team ships faster. The bottleneck is context: the gap between what engineers carry in their heads and what AI can understand or communicate.
Companies that solve the context problem will move faster. Their tools will make fewer mistakes that require human correction, while teams that ignore it accumulate technical debt…
