Ai Coding Agents

Study finds AI coding agents generate more code, not more software: A study finds AI coding agents generate more code, but not more software. The research says coding efficiency gains get absorbed by a human review bottleneck.

AI Research • Ars Technica AI

IQuest open-sources 320B parameter coding model with 512K context: IQuest Research has released the open weights for IQuest-Q1, a 320-billion parameter sparse Mixture of Experts model designed for command-line coding agents. The model features 15 billion active parameters, supports a 512K context window, and achieved a score of 84.5 on the CyberGym benchmark.

AI Models • Pandaily