Abstract You’ve vibe-coded an AI assistant that’s a game-changer for your team. It works perfectly on your laptop. But when you try to deploy it company-wide, everything falls apart. This is what is known as “deployment slop”—the messy reality when quick AI prototypes hit the enterprise world. Your ...

Introduction Troubleshooting critical issues by deciphering a user’s journey on the Grab app is an extremely challenging task. With countless user journeys and multiple paths through the User Interface (UI), it’s akin to searching for a needle in a vast haystack. This challenge frequently resonates ...

Introduction Delivering personalized user experiences in real-time is central to Grab’s strategy, but achieving this at scale poses significant engineering challenges. Grab’s Customer Data Platform (CDP) and Growth team has successfully delivered several real-time campaigns, driving significant busi...

Introduction Ten years ago, we launched our bug bounty program in partnership with HackerOne. Beyond a security initiative, it represented an open invitation to collaborative development. As pioneers in Southeast Asia, we began the program with 23 initial researchers, and it has since evolved into a...

Introduction In today’s data-driven landscape, monitoring data quality has become a critical need for ensuring reliable and efficient data usage across domains. High-quality data is the backbone of AI innovation, driving efficiency and unlocking new opportunities. As decentralized data ownership gro...

Introduction At Grab, innovation isn’t just about building new features; it’s about evolving our platforms to meet the changing needs of our users and the broader technological landscape. SpellVault, our internal AI platform, exemplifies this philosophy. When SpellVault was first launched, our visio...