Developer Tools - Page 13

Meta says an outside group used an employee's stolen login to take code from its GitHub repositories, plus personal data that should not have been there.

The X Subscription puts Grok, Grok Bot, Cursor and X Premium on one plan, from free to $200 a month. Here are the exact prices and what changes.

Meta launches Muse Wonder and Muse Wonder Full, "our most capable models to date", for agentic tasks, via the Meta Model API and Muse Code from today.

Sperid Labs released Iris-3B, a 3B image model with no VAE. Its paper finds no clear gain for depth or restoration. Code and weights are open.

Nous Research says MISSINGNO, a coding and agentic model, is free on its portal for a limited time. Size, weights, price and end date are not stated.

What Grok Bot connects to, how sign-in and custom MCP connections work, what it can do inside Gmail, Drive, Notion and more, and how to limit its access.

Four AI developer-tool updates from 8–9 October 2026: Harness buys selected Augment Code assets (not the whole company, price undisclosed), Hugging Face's TRL v1.15.0 claims up to 6.9× longer training sequences, Google's Genkit Dart reaches 1.0, and NVIDIA shows its Boro kernel-review tool. What each says, and what it doesn't.

A preprint from EPFL researchers, listed on Apple's research site, finds a single minimal coding-agent session matched or beat elaborate machine-learning agent systems in its tests. Pasqal releases skills that let coding agents prepare quantum experiments, and Microsoft makes 30 Dynamics 365 CRM skills generally available, with Autopilot still in private preview.

JetBrains has released Mellum2.1, a small open model for coding agents, and Hugging Face has released Carbon-A, a 1.2B-parameter model that predicts protein-coding regions in DNA, plus a database of 566 million predicted loci. What each does, and which numbers are the developers' own.

Hugging Face's FineEnvs team has released an open framework that turns unmodified coding-agent harnesses such as Claude Code, Codex and OpenCode into reinforcement-learning environments. In its own tests, one small model scored 62% in one harness and 33% in another. What a harness is, how the training works, and what the results do and do not show.