AI Engineer

AI-Generated Code Is Already Competing With Human Code — Daksh Gupta, Greptile

Get Out of the Model's Way — Kevin Hou, Google Antigravity

Software Engineering Is Becoming Factory Engineering — Zach Lloyd, Warp

GLM-5.2: Open Weights, Near-Frontier Intelligence — Zixuan Li, Z.ai

Orchestras, Not Factories: How the Fastest Builders Work — Charlie Holtz, Conductor

Scale the Judgment, Not the Model — Andrew Orobator, Reddit

No, That's Not a Software Factory — Ryan Cooke, WorkOS

What It Actually Takes to Build a Software Factory — Tereza Tížková, Factory

I Turned Coding Agents Into a Strategy Game — Ido Salomon, AgentCraft

Building Self-Improving Agent Software Factories — Suraj Gupta, Warp

We Let Claude Code and Codex Race Human Researchers — Elie Bakouch, Prime Intellect

Beating RL With Reflection: GEPA and Optimize Anything — Lakshya A. Agrawal, GEPA

Long-Horizon Agents Need Experiments, Not Just Prompts — Erina Karati

How We Built an Agent That Improves Itself — Zubin Aysola, Weights & Biases

Autoresearch Made Our Models 3x Faster — Tejas Bhakta, Morph

An AI Research Agent That Runs Your Experiments — Tim Sweeney, Weights & Biases

The Loop Is the Product — Roland Gavrilescu, Introspection

Fixing the PR Bottleneck — Matt Pocock, AIHero

Teaching LLMs to Speak Spotify — Yves Raimond & Jacqueline Wood, Spotify

Spotify is evolving its recommendation infrastructure from traditional ranking algorithms to "generative personalization," a system that enables dynamic, interactive, and steerable user experiences. This transition relies on the "Large Taste Model," which integrates semantic IDs—quantized content embeddings—into open-s...

Why LLM Recommenders Will Be AI's Biggest Consumer App — Devansh Tandon, Meta

Recommendation systems follow power-law scaling curves similar to large language models, positioning the field at an early stage of development. The integration of LLMs into recommendation engines—specifically through semantic IDs and generative retrieval—enables more efficient, steerable, and interactive user experien...