Engineering Insights

Waypoint-1.5: Higher-Fidelity Interactive Worlds for Everyday GPUs

Multimodal Embedding & Reranker Models with Sentence Transformers

Announcing Query Insights For Prisma Postgres

Query Insights gives you built-in visibility into how your database queries behave in production. It is included in Prisma Postgres and works out of the box without any setup.

Build a multi-tenant configuration system with tagged storage patterns

In this post, we demonstrate how you can build a scalable, multi-tenant configuration service using the tagged storage pattern, an architectural approach that uses key prefixes (like tenant_config_ or param_config_) to automatically route configuration requests to the most appropriate AWS storage service. This pattern maintains strict tenant isolation and supports real-time, zero-downtime configuration updates through event-driven architecture, alleviating the cache staleness problem.

Trust But Canary: Configuration Safety at Scale

As AI increases developer speed and productivity it also increases the need for safeguards. On this episode of the Meta Tech Podcast, Pascal Hartig sits down with Ishwari and Joe from Meta’s Configurations team to discuss how Meta makes config rollouts safe at scale. Listen in to learn about canarying and progressive rollouts, the health checks [...] Read More... The post Trust But Canary: Configuration Safety at Scale appeared first on Engineering at Meta.

Integrate Physical AI Capabilities into Existing Apps with NVIDIA Omniverse Libraries

Physical AI—AI systems that perceive, reason, and act in physically grounded simulated environments—is changing how teams design and validate robots and... Physical AI—AI systems that perceive, reason, and act in physically grounded simulated environments—is changing how teams design and validate robots and industrial systems, long before anything ships to the factory floor. At GTC 2026, NVIDIA highlighted physical AI as a key direction for robotics and digital twins, where policies are trained

The next phase of enterprise AI

OpenAI outlines the next phase of enterprise AI, as adoption accelerates across industries with Frontier, ChatGPT Enterprise, Codex, and company-wide AI agents.

Feedback Flywheel

Rahul Garg finishes his series on reducing the friction in AI-Assisted Development. He proposes a structured feedback practice that harvests learnings from AI sessions and feeds them back into the team's shared artifacts, turning individual experience into collective improvement. more…