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Trending Posts

Making User-Sequence Data More Cost-Efficient, Faster, and Easier to Use

10 views2026-05-21

The Hacker News

Agent AI is Coming. Are You Ready?

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Specialization Beats Scale: A Strategic Variable Most AI Procurement Decisions Overlook

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The State of CSS Centering in 2026

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The agentic era: Architecting the blueprint for mission impact across the public sector

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

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AI•2026-01-29

Project Genie: Experimenting with infinite, interactive worlds

Google is rolling out Project Genie, an experimental research prototype powered by Genie 3, allowing users to create and explore interactive worlds in real time.

AI•2026-01-29

Introducing Moltworker: a self-hosted personal AI agent, minus the minis

This post introduces Moltworker, a middleware solution that enables running Moltbot (a self-hosted personal AI agent) on Cloudflare's infrastructure without dedicated hardware.

Cloudflare Workers

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.

DevOps•2026-01-29

Ingress NGINX: Statement from the Kubernetes Steering and Security Response Committees

Kubernetes is retiring Ingress NGINX in March 2026, affecting approximately 50% of cloud native environments and requiring immediate migration planning.

AI•2026-01-29

Beyond the Chatbot: A Blueprint for Trustable AI

This post describes a real-time AI racing coach built by Google Developer Experts using a split-brain architecture tested at Thunderhill Raceway.

Machine Learning•2026-01-28

Ads Candidate Generation using Behavioral Sequence Modeling

Pinterest's Ads team developed transformer-based behavioral sequence models to improve ad candidate generation using users' offsite activity history.

Machine Learning•2026-01-28

Diagnosing instability in production-scale agent reinforcement learning

This post identifies a late-phase instability mechanism in production-scale reinforcement learning for tool-using agents, caused by tool-conditioned variance amplification.

Engineering@Microsoft

Culture•2026-01-28

My Journey to Airbnb: Peter Coles

This article traces the career journey of Peter Coles, Airbnb's Head Economist for Policy and Director of Data Science, from academia to tech industry leadership.

AI•2026-01-28

Engineering VP Josh Clemm on how we use knowledge graphs, MCP, and DSPy in Dash

Josh Clemm, VP of Engineering at Dropbox, explains how Dash uses knowledge graphs, MCP, and DSPy to build a universal work search and AI assistant.

knowledge graphs

Frontend•2026-01-28

From pixels to characters: The engineering behind GitHub Copilot CLI’s animated ASCII banner

This article covers the engineering challenges behind building an animated ASCII banner for GitHub Copilot CLI, requiring over 6,000 lines of TypeScript.

AI•2026-01-28

LiteRT: The Universal Framework for On-Device AI

LiteRT is Google's universal on-device AI inference framework evolved from TensorFlow Lite, now with full GPU and NPU acceleration across platforms.

DevOps•2026-01-28

Experimenting with Gateway API using kind

This guide walks through setting up a local Kubernetes Gateway API experimental environment using kind (Kubernetes in Docker) for learning and testing purposes.