engineering Programming Tutorials & Engineering Articles

LinkedIn expanded its ClickHouse observability stack from distributed tracing to metric discovery and analytics, consolidating 13B+ metrics into one index serving 150k+ queries per minute.

Stripe built an agentic payment method factory from over 100 reusable prompts, hardened by agents observing implementation runs, and kept them current by feeding back each run's learnings.

Parallel work, model-family isolation, reversible changes, and GPU-backed validation shaped an open source project designed around coding agents NVIDIA TensorRT…

To understand where agentic AI stands today, consider the last seismic shift in technology: the rise of the internet in the 90s. It was new and full of…

AI agents can be given a goal, write code, use tools, and keep working as new information becomes available. This opens the door to applications that…

Every unused watt is capacity left on the table. AI factories are typically provisioned for the unlikely moment when every GPU reaches peak power…

A look at how a design system shipped major changes without breaking the world.

Using NVIDIA Cluster Readiness Engine, teams can bring reliable GPU clusters to production with workload-driven validation.

An AI coding agent’s patch can pass tests yet fail when the server loads a real model and handles requests. Evaluating changes to inference-serving software…

We believe glasses are the best form factor for having AI help throughout your day. They can understand your personal context better than other kinds of devices and keep you present without picking…

As large language model (LLM) inference increasingly processes sensitive information and proprietary model context across personal, enterprise…

See how local NVMe transforms Postgres transaction performance—and why ClickHouse remains essential for fast analytics as workloads scale.

We built Helix to help LLMs rebuild the Shopify app in Swift and Kotlin, using small checkpoints and strict quality gates to keep the code shippable.

Petal, the next step in Meta’s subsea innovation, will be the first subsea cable to deliver petabit capacity at transoceanic distances, connecting France and the United States over approximately 7,…

We’re open-sourcing Rebalancer, the assignment-problem solver that has been used to solve resource allocation problems throughout Meta for over nine years. Rebalancer separates several relate…

Stripe’s next generation of reporting APIs are focused on enterprise scalability, and this post shows you how to use them in your financial reporting infrastructure.

The ClickHouse adapter for dbt v2 is in public beta, powered by dbt’s Rust engine. ClickHouse also joins the dbt platform in private beta, supporting open-source ClickHouse and ClickHouse Cloud.

How two new Chronon capabilities, Push Mode and NRT Model Transform, allows us to provide more relevant search results instantly as a guest…

Google has partnered with Speakeasy to open-source their OpenAPI code generation suite under the AGPLv3 license, a strategic move prompted by the sudden shutdown of Google's previous proprietary SDK provider. The newly open-sourced suite equips developers with deterministic, multi-language SDK generators that natively support strict typing and SSE streaming, alongside tools for compiling agent-native CLIs and documentation MCP servers. Engineering teams can now safely integrate this robust tooling directly into their CI pipelines to automatically generate reliable client libraries for their own APIs, all while retaining complete licensing control over the output code.

Agentic AI workflows can be used to prepare and validate digital twins for physical AI systems. Agents can inspect 3D scenes, author simulation-relevant data in…

AI agents are moving from cloud data centers to vehicles, robots, and other edge devices. Unlike a chatbot that answers a single prompt, an agent works through…

cuTile Rust () is a tile-based system for safe, idiomatic GPU kernel authoring in the Rust programming language. Extending the Rust ownership model to tile…

Power is a defining constraint for AI factories. As AI workloads demand a full compute platform to serve them, each component of that platform must maximize…

For operators of large-scale AI factories, maximizing continuous output is essential for productivity. In massive-scale AI training, every GPU in the cluster…

How Airbnb’s agent harness transforms unstructured data exploration by encoding scientific methodology into scalable, reproducible, and…

This blog post explores how to transition AI agents from static, build-time security controls to dynamic runtime governance using the Gemini Enterprise Agent Platform. It highlights three primary managed defenses: Model Armor for screening edge prompts, Semantic Governance Policies for evaluating tool intent against business rules, and Agent Anomaly Detection for catching multi-turn exploits. By shifting these capabilities to the platform level, security administrators can dynamically enforce policies and neutralize complex attacks without needing to modify or redeploy the agent's underlying code.

Harbor is the internal tool Stripe teams use to prototype with an AI agent. This post covers how it compiles prototypes in the browser, how the agent inspects its own work, and how comments stay anchored when the page is rewritten.

Deploying a large language model is only the first step toward production-ready serving. Production teams also need to serve as many concurrent users as…

Biomolecular structure prediction is now often run at proteome scale, where the goal is to move an entire worklist through the pipeline efficiently.