How to Generate Mergeable Code with a Context Engine — Peter Werry, Unblocked
Peter Werry from Unblocked demonstrates how AI agents often miss critical information when working with code—similar to radiologists finding one issue and stopping their search.
He argues that agents are like newly hired engineers who must rediscover how to build and test for every task, leading to poor assumptions and wasted time and money. The solution is a "context engine" that assembles relevant information beforehand—when used, a code optimization was completed in under a minute for under a dollar, compared to double the time and cost without it. He also shows how a review agent can surface senior engineer feedback and trace problems back to Slack discussions.
Vibekollen prepared this summary with AI from the original publication. The content belongs to AI Engineer.
