AI Engineer

Most Enterprise Agentic Projects Are Doomed, Here's Why — Jess Grogan-Avignon & Jack Wang, Accenture

Context Graphs for Explainable, Decision-Aware AI Agents — Andreas Kollegger & Zaid Zaim, Neo4j

The AI Skill I Rely On Daily — Priscila Andre de Oliveira, Sentry

Why Rust is the Ideal Language for Vibe-Coding — Daniel Szoke, Sentry

The maturity phases of running evals — Phil Hetzel, Braintrust

Run Frontier AI at Home — Alex Cheema, EXO Labs

What the Best Agents Share — Mardu Swanepoel, Flinn AI

Stop babysitting your agents... — Brandon Waselnuk, Unblocked

Agentic Evaluations at Scale, For Everybody — Nicholas Kang & Michael Aaron, Google DeepMind

Does GenAI "belong" to data scientists? — Phil Hetzel, Braintrust

Bounded Autonomy: Between Free Will and Determinism — Angus J. McLean, Oliver

How Google DeepMind Runs Agents at Scale — KP Sawhney & Ian Ballantyne, Google DeepMind

Let's Talk About FOMAT: Fear of Missing Agent Time — Michael Richman, Cmd+Ctrl

Scaling the Next Paradigm of Heterogeneous Intelligence — Adrian Bertagnoli, Callosum

Introducing WebMCP: Agents in the Browser — RL Nabors

The web is evolving into an agentic ecosystem where browsers function as infinite canvases rather than static document readers. By utilizing the Model Context Protocol (MCP), developers can bridge the gap between human-centric websites and AI agents. Key implementation strategies include choosing appropriate transports...

The Missing Primitive for Agent Swarms — Lou Bichard, Ona

Prompt to Pipeline: Building with Google's Gen Media Stack — Paige & Guillaume, Google DeepMind

Fast Models Need Slow Developers — Sarah Chieng, Cerebras

Lobster Trap: OpenClaw in Containers from Local to K8s and Back — Sally Ann O'Malley, Red Hat

Gemini Nano on device — Florina Muntenescu & Oli Gaymond, Google DeepMind