Rise of the Knowledge Engineer
16 hours ago
- AI agents accounted for 66% of web traffic on Mintlify-powered documentation sites by July 2026, making them a primary audience for knowledge.
- Incorrect information provided to agents can lead to legal liabilities (e.g., Air Canada chatbot case) and operational failures like recommending competitors or coding errors.
- Knowledge work is expanding from content creation to designing systems and processes that ensure accuracy for both humans and agents.
- Knowledge engineers are responsible for establishing authoritative sources, connecting updates to their origins, and measuring agent retrieval failures.
- Tools like Mintlify can automate parts of the loop, but human oversight is needed to determine what is authoritative and when review is required.
- Humans need mental models and contextual understanding, while agents need exhaustive, structured information like parameters and schemas.
- Benefits of a knowledge engineering mindset include keeping knowledge current, turning gaps into improvements, and freeing teams to focus on higher-value work.
- Companies should assign accountability for knowledge to someone who can identify authoritative sources and ensure retrievability.