Building Agents Is Trivial Now, Context Is the Next Frontier — Jeff Ng, Unblocked
Jeff Ng from Unblocked demonstrates that building AI agents has become straightforward—frameworks and cloud tools have solved the technical work.
However, agents fail when they lack context. In his example, an agent recommended the wrong action for a performance problem in a code request because it read the ticket and code but not the Slack discussions where the team had already solved the problem and documented why a certain setting caused an outage. By instead giving the agent access to a context system encompassing documentation, code, tickets, and conversations, the same agent reversed its answer from repeating the outage to preventing it.
Vibekollen prepared this summary with AI from the original publication. The content belongs to AI Engineer.
