Videos
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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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