HOW GRAB IS USING AI AGENTS TO BOOST TEAM PRODUCTIVITY

Summary from the TLDR Dev newsletter

Grab's data engineering team built a multi-agent system to automate the investigation work that was consuming two full days a week of senior engineers' time supporting 15,000+ tables and 1,000 monthly users. The architecture splits work by risk profile: a read-only investigation pathway with Classifier, Data, Code Search, On-call, and Summarizer agents orchestrated via LangGraph, and a more cautious write pathway with a single Enhancement Agent gated by human review.