The Journal, page 9
Page 9 of 20 of the Journal archive: AI engineering talk recaps, briefs and build notes, newest first.
- Harness Engineering is not Enough: Why Software Factories Fail - Dex Horthy, HumanLayer
- Perception Agents - Antje Barth, Amazon AGI Lab
- Active Graph Agent Runtime (BabyAGI 4) - Yohei Nakajima, Untapped Capital
- From Systems of Record to Systems of Context - Omri Bruchim & Tomer Ast, monday.com
- Your Moat Is Your Data Model - Mike Phipps, Gates Foundation
- Don't Let the LLM Drive - Ornella Bahidika & Joel Allou, Microsoft
- Why Your Agent Disagrees With Itself (And What To Do About It) - Diane Lin, Datadog
- Your Voice Agent Doesn't Need a Frontier Model - Joel Allou & Ornella Bahidika, Microsoft
- From Blind Spots to Merged PRs: Continuous Agentic Performance Optimization - May Walter, Hud
- From Tokens to Cells: Foundation Models for Single-Cell Biology - Akram Baharlouei, Altos Labs
- You Didn't Ship a Bug. You Just Wrote It for a Human. - Ravi Madabhushi, Scalekit
- On AI and Knowledge - Pablo Castro, Distinguished Engineer & CVP for AI Knowledge, Microsoft
- "Software engineering is not about writing code" - Benoit Schillings, Google DeepMind VP of Research
- An AI Agent Became the #1 Contributor in OpenAI's Hiring Challenge - Zhengyao Jiang, Weco
- Computer-Use 2.0: Agents Just Got Multi-Cursor - Francesco Bonacci, Cua
- Don't Ship Skills Without Evals - Philipp Schmid, Google DeepMind
- Recursive Model Improvement - Lee Robinson, Cursor, SpaceXAI
- Simon Willison in conversation with Cat Wu & Thariq Shihipar, Anthropic
- WTF Is the Context Layer? The Missing Infrastructure for Production Agents - Prukalpa Sankar
- From fork() to Fleet: Designing an Agent Sandbox Cloud - Abhishek Bhardwaj, OpenAI
- Modern Post-Training: A Deep Dive - Will Brown, Prime Intellect
- RLM: Recursive Language Models for Large Codebases - Shashi, Superagentic AI
- A Song of Types and Agents - Roberto Stagi, Ratel
- ReviewDebt: a practical framework for scoring every pull request - Sachin Gupta, Ebay