Peter Steinberger's long, detailed description of his current process for using Codex CLI and GPT-5 Codex. This is information dense and full of actionable tips, plus plenty of strong opinions …

Dive into Grab’s engineering journey to optimise a core ML model. Learn how we built the Triton Server Manager and used Triton Inference Server (TIS) to achieve a 50% reduction in tail latency and seamlessly migrate over 50% of online deployments.

Engineers and therapists team up to create a custom learning station for a young student.

Explore how Grab uses machine learning to perform predictive scaling on our data processing workloads.

e-KYC faces challenges with unstandardized document formats and local SEA languages. Existing LLMs lack sufficient SEA language support. We trained a Vision LLM from scratch, modifying open-source models to be 50% faster while maintaining accuracy. These…

Explore the difference between prompt engineering and prompt design, and how UX designers can shape AI agents with personality and purpose.

Discover how our transition from cloud-based Mac hardware infrastructure to a colocation cluster within Southeast Asia has revolutionized our macOS CI/CD, enhancing performance and reducing costs.

Discover SpellVault’s evolution from its early RAG-based foundations and plugin ecosystem to its transformation into a tool-driven, agentic framework that empowers users to build AI agents that are powerful, flexible, and future-ready.

Discover how Grab's Coban Platform revolutionizes real-time data quality monitoring for Kafka streams. Learn how syntactic and semantic tests empower stream users to ensure reliable data, prevent cascading errors, and accelerate AI-driven innovation.