In the dynamic realm of mobile development, understanding user journeys is key to effective troubleshooting. This blog delves into how Grab's innovative AutoTrack SDK has revolutionized session tracking. By addressing the challenges of incomplete user journey…

What do self-driving cars and digital accordions have in common? Sergey Antonovich's dual interests reveal the surprising connection.

Grab is redefining how engineers respond to operational incidents by introducing Kinabalu AI Site Reliability Engineering (AI SRE); an AI-assisted platform that brings together fragmented context, automates reasoning, and accelerates the path from alert to…

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Feature engineering doesn’t have to be complex. These 5 Python scripts help you create meaningful features that improve model performance.

Baya Systems, a leader in high-performance semiconductor system technologies, has announced the expansion of its engineering hub in Bengaluru to scale its work in AI, high-performance computing (HPC) and automotive systems. The company said the move supports…

Built an AI tool that works locally but can't scale enterprise-wide? Learn how BriX tackles this deployment gap, turning prototypes into governed, production-grade solutions—no engineering team required.

AI is fundamentally rewriting age-old codes and reshaping how systems are designed, tested, and trusted. At a massive scale, traditional engineering assumptions are breaking down, and nowhere is this more evident than in testing.  ​​Writing unit tests has…

The AI data center boom is creating a massive demand for skilled engineers and technicians.

Large container images were causing slow cold starts and poor auto-scaling for Grab's data platforms. This post explores how we implemented Docker image lazy loading with Seekable OCI (SOCI) technology, to achieve faster image pulls and startup times. The…

A look inside how we scaled AI-assisted coding across Grab, moving Cursor from pilot to daily use to help us work faster and more reliably. Read what changed in our workflows with Cursor, how we integrated it responsibly, and what’s next for Cursor within…

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In the quest to optimize app performance, managing the image cache was crucial. This blog takes us on a journey from a traditional Least Recently Used (LRU) cache to a Time-Aware Least Recently Used (TLRU) cache. This innovative approach reclaimed terabytes…

Use AI to accelerate learning, not replace thinking. Engineers can deepen their understanding by interrogating AI-generated solutions.

How Grab enabled R8 optimization for its Android app at scale, over 9 million lines of code and more than engineers. Read how we achieved 25% ANR reduction, 16% app size decrease, and 27% faster startup through AI-assisted debugging with MCP tools, pragmatic…

The Analytics Data Warehouse (ADW) team at Grab supports over 1,000 users. These users support an extensive repository of more than 15,000 tables. To alleviate the time-consuming demands of repetitive tasks, the team implemented a multi-agent AI system. This…