Videos list
Thumb Title Channel Status Published
Building Self-Learning Loops for Your Agent — Fuad Ali, Arize AI

Arize AI is pushing toward fully autonomous self-healing agents where observability data is consumed...

AI Engineer summarized 2026-10-11 15:30
Your AI Agent Has No Nervous System — Matt Gibiec, Dynatrace

Matt Gibiec opens a conference talk by framing AI agents as tools that are replacing human work but have no nervous...

AI Engineer summarized 2026-10-08 18:30
Giving AI Agents Memory That Learns — Jake Broekhuizen, LangChain

LangChain's memory framework for agents treats traces as raw material, filtering them into durable context (facts,...

AI Engineer summarized 2026-10-08 14:00
Why Building an Eval Platform Is Harder Than It Looks — Braintrust

Building an eval platform for AI agents is fundamentally a systems problem, not a UI or spreadsheet issue, because...

AI Engineer summarized 2026-10-06 18:30
The Self-Improving OSS Agent Stack — Marc Klingen, Langfuse

Self-improving agents that use production traces to propose fixes and update their own evaluation data sets are...

AI Engineer summarized 2026-10-06 17:00
What Is an Inference Engine, Anyway? — Charles Frye, Modal

Inference engines are architecturally split into a host-side scheduler (the bottleneck) and GPU-side model runners,...

AI Engineer summarized 2026-10-06 00:00
From Vibes to Production: Evaluating and Shipping AI Agents That Work 101 — Laurie Voss, Arize AI

Most teams ship AI features on vibes—testing a few queries manually and shipping—but this breaks as...

AI Engineer summarized 2026-10-05 22:00
Your AI Agent Is Confidently Wrong About Production — Willem Pienaar, Cleric

Production debugging with LLM agents fails because models are trained for confidence rather than the doubt and...

AI Engineer summarized 2026-10-05 17:00
Agentic Search vs Vector Search for Coding Agents: We Ran the Eval — Braintrust

Braintrust's eval of coding agents found that agentic search and vector search reached the same accuracy, but vector...

AI Engineer summarized 2026-10-05 15:30
How We Built an Agent That Improves Itself — Zubin Aysola, Weights & Biases

Weights & Biases' Arya agent uses its own production traces and offline evaluations to generate new tasks and prompt...

AI Engineer summarized 2026-09-26 16:00
An AI Research Agent That Runs Your Experiments — Tim Sweeney, Weights & Biases

Arya, Weights & Biases' new AI research agent, autonomously runs experiments, adjusts hyperparameters, and generates...

AI Engineer summarized 2026-09-26 14:30
Agents Are Where Microservices Were in 2015 — Roberto Milev & Uday Kanagala, Navan

Building reliable multi-agent systems before mastering a single agentic loop is a recipe for failure, mirroring the...

AI Engineer summarized 2026-08-29 16:30
AI Agents Are Just Distributed Systems Now — Salman Munaf, TikTok

AI agents have become distributed systems that can cause side effects; treating them as such with deterministic...

AI Engineer summarized 2026-08-29 16:00
Building uReview, Uber’s Multi-Agent Code Review Engine — Will Bond & Ameya Ketkar, Uber

Uber's UReview system reduced code review costs by 60% and improved accuracy by 70% through an observability...

AI Engineer summarized 2026-08-28 14:30
Your Agent Evolved. Your Evals Didn't. — Ameya Bhatawdekar, Braintrust

AI system architecture evolves faster than evaluations, creating a widening gap between what models can do and what...

AI Engineer summarized 2026-08-19 22:50
From Signal to PR: Anatomy of a Self-Improving Agent — Jason Lopatecki, Arize

Arize AI's Signal agent transforms observability data into automated pull requests by combining telemetry traces,...

AI Engineer summarized 2026-07-24 20:15
Logs Are All You Need: Rethinking Observability with AI Agents

Sazabi is an AI-native observability platform that replaces traditional dashboards with a chat interface, arguing...

MLOps.community summarized 2026-06-22 14:00
The Production AI Playbook: Deploying Agents at Enterprise Scale — Sandipan Bhaumik, Databricks

Sandipan Bhaumik from Databricks presents a five-pillar framework for deploying AI agents at enterprise scale,...

AI Engineer summarized 2026-06-18 13:00

Frontier News · by Hyperjump Technology