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Grab Articles | Endigest

Grab Articles

Architecture•2026-05-29

From decentralized Docs-as-Code to a centralized repository: Evolving Grab's documentation strategy

Grab transitioned from decentralized to centralized documentation to improve discoverability and consistency at organizational scale.

Data Engineering•2026-05-22

The Hugo evolution: Engineering Grab's unified, one-click data ingestion platform with Apache Flink

Hugo unifies Grab's data ingestion workflows with Apache Flink, consolidating previously siloed platforms into a single self-service interface.

Mobile•2026-05-15

Scaling developer experience: How we improved Android Studio in a large monorepo

Grab optimized Android Studio performance in a large monorepo with 2,000+ modules by implementing a custom Focus plugin that reduces IDE sync time.

DevOps•2026-05-07

Enhancing Flink Deployment with Shadow Testing

Grab implemented Shadow Testing in its Flink deployment pipeline to eliminate downtime from production deployment failures.

Data Engineering•2026-04-30

Data Mesh at Grab Part II: The Foundational Tools behind Certification

Grab develops three integrated platforms to operationalize data mesh and ensure data reliability at scale.

Data Engineering•2026-04-30

Data Mesh at Grab Part II: The Foundational Tools behind Certification

Grab operationalizes data mesh certification through three foundational platforms.

AI•2026-04-22

Record, generate, run: AI-powered UI test generation for iOS

An AI-powered system automates iOS UI test generation by analyzing recorded user interactions and generating complete, executable test code.

AI•2026-04-22

Record, generate, run: AI-powered UI test generation for iOS

This article presents an AI workflow that generates iOS UI tests from recorded user interactions.

AI•2026-03-19

From firefighting to building: How AI agents restored our team’s core productivity

Grab's Analytics Data Warehouse team describes how they deployed a multi-agent AI system to reclaim 40% of engineering time spent on repetitive data support tasks.

Mobile•2026-03-12

Enabling R8 optimization at scale with AI-assisted debugging

This post explains how Grab enabled R8 optimization for their large-scale Android app by developing AI-assisted debugging techniques to overcome three core challenges.

Mobile•2026-03-06

Reclaiming Terabytes: Optimizing Android image caching with TLRU

This post details how Grab evolved their Android image caching from LRU to TLRU (Time-Aware Least Recently Used) to reclaim storage without degrading user experience.

AI•2026-01-29

Cursor at Grab: Adoption and impact

This post details how Grab scaled adoption of the Cursor AI coding assistant across engineering and non-technical teams, sharing key metrics and productivity findings.