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.
More from AI Engineer
Inside Arca's Long-Horizon Agents That Run the Business - Aman Singh, Arca
AI Engineer 23 Oct
Real AI Agent Attacks and What Would Have Stopped Them — Andrey Rybka, Bloomberg
AI Engineer 23 Oct
Outside of tech there has been no financial payoff to US companies for using AI, now viewed as a margin-hurting cost center, as VC-backed firms burn more tokens
Techmeme 4 h ago
Source: Replit recently moved most AI spend from Anthropic to OpenAI, which gave 30%+ off in a deal worth $100M+/year, after Anthropic discontinued its discount
Techmeme 6 h ago