Jeffrey Ng explains that modern frameworks and cloud primitives have made agents much easier to deploy by handling persistence, sandboxing and observability. Those foundations reduce engineering effort, but they do not stop an agent from making confident mistakes when it lacks the decisions and history that shaped the work in front of it.
Jeffrey Ng demonstrates an issue-enrichment agent that recommends reversing a deliberate outage fix because it can see the code and ticket but not the later conversation and postmortem. A human normally supplies that missing context during an interactive session, while an unattended background agent can silently repeat the error and spread it to people or other agents.
Jeffrey Ng proposes a context engine that connects code, tickets, documents and conversations, resolves conflicts, ranks information for the task and respects permissions before returning a synthesized understanding. He distinguishes this from raw tool access, which can flood an agent with documents and leave it to make ad hoc choices about contradictory evidence.
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