Google AI has released Auto-Diagnose, a large language model-based system designed to automatically diagnose integration test failures at scale, addressing a major pain point in software development workflows.
OpenAI expanded its agent-building toolkit with native sandbox support and new tools, allowing developers to build AI agents that can check files, write code, and handle complex tasks in isolated environments for safer enterprise deployment.
MiniMax released model weights for MiniMax M2.7 on Hugging Face, a self-evolving agent model that scores 56.22% on SWE-Pro and 57.0% on Terminal Bench 2. The company also released MMX-CLI, a command-line interface providing native access to image, video, speech, music, vision, and search capabilities.
AWS launched Agent Registry in preview and announced AgentCore, a platform designed to build, connect, and optimize AI agents at scale across enterprises. The platform enables organizations to discover, share, and reuse AI agents, tools, and agent skills.
OpenAI introduced a new $100/month Pro subscription tier offering significantly more usage of its Codex coding tool, positioned between the $20 Plus tier and the previous $200 Pro tier. The new tier provides 5x more Codex access than the Plus subscription.
RightNow AI has released AutoKernel, an open-source framework that applies an autonomous agent loop to GPU kernel optimization for arbitrary PyTorch models, aiming to automate one of the most specialized tasks in ML engineering.