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Science & Learning

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110 summaries to explore · AI Engineer

Science & Learning

Using RL Agent to Detect and Remediate ETL Pipeline Failures - Anna Marie Benzon

Science & Learning

The Prompt is the Platform - Dominik Tornow, Resonate HQ

Technology & AI

Your Agent Failed in Prod. Good Luck Reproducing It. - Tisha Chawla & Susheem Koul, Microsoft

Technology & AI

The Agentic AI Engineer - Benedikt Sanftl, Mutagent

Technology & AI

The Future Is Domain-Specific Agents - Justin Schroeder, StandardAgents

Technology & AI

Building Great Agent Skills: The Missing Manual

Technology & AI

Using Spec-Driven Development for Production Workflows - Erik Hanchett, AWS

Technology & AI

Agents Building Agents - Alfonso Graziano, Nearform

Technology & AI

Structuring the Unstructured - Cedric Clyburn, Red Hat

Technology & AI

Research to Reality: Bringing Frontier ML Research to Production - Vaidas Razgaitis, Higharc

Technology & AI

AI System Design: From Idea to Production - Apoorva Joshi, MongoDB

Technology & AI

We Cut 94% of AI Coding Tokens With a Local Code Index - Rajkumar Sakthivel, Tesco