AI TrackerCoding news,
for builders.
The latest coding news from every AI provider: launches, price changes and retirements, summarized with what they mean for you.
Hermes Agent adds an Advanced Delegation modes plugin that picks a model per subagent
Nous Research announced on X on October 26 a new Advanced Delegation modes plugin for Hermes Agent. According to the post, the agent's orchestrator can now choose a different model or profile for each subagent, from routes the user sets up. The announcement links to the plugin's documentation page and includes a short demo video.
JFrog: the testmetest npm worm has armed 42 GitHub repositories, with hooks for AI coding tools
JFrog Security Research says the testmetest campaign goes beyond npm: it found 42 armed GitHub repositories across 11 legitimate owners that hide an npm publisher, plus a new native addon that decrypts its payload at runtime and stays dormant in CI, sandboxes and analysis tools. The campaign spans 25 npm package names. JFrog tells readers to check whether they installed any testmetest or @iobandamwer packages and to remove them.Users report Codex and Claude refusing reverse-engineering and malware-removal tasks; an OpenAI employee says it is accidental
Users on X and Reddit report that OpenAI's Codex and Anthropic's Claude Opus 5.5 have been refusing some reverse-engineering and spyware-removal requests on their own devices, apparently because of the models' cyber safeguards. These are user reports; neither vendor has announced a policy change.Artificial Analysis and Arena rank Kimi K3.1 Pro 4th on their indexes and #8 in Code Arena WebDev
Two independent evaluators published results for Moonshot's Kimi K3.1 Pro within an hour of its launch. Both put its price at $2 per million input tokens and $10 per million output tokens; Artificial Analysis lists cached input at $0.20, 33% below Kimi K3.
OpenCode adds background compaction as an experimental setting
Neriousy announced on X on October 25 that background compaction has landed in OpenCode as an experimental setting, and asked users to try it and give feedback. The post includes a short demo video; it does not say how the setting is turned on or how it differs from the current compaction. The post was reshared by the OpenCode account and by thdxr.Nanbeige releases Nanbeige4.3-33B, an open ~30B agentic model
Nanbeige announced Nanbeige4.3-33B on X on October 25, with the weights and a base model (Nanbeige4.3-33B-Base) on Hugging Face. The lab says it built a strong "teacher" model first, to push the ceiling of small agents, and that the 33B will teach upcoming smaller Nanbeige models, starting with Nanbeige4.3-3B.Moonshot launches Kimi K3.1 Pro, with open weights due by November 4
Moonshot announced Kimi K3.1 Pro, which it calls its most capable 3T-class open-weight model: a multimodal mixture-of-experts model with 2.8T total and 104B active parameters and a 1M-token context. Moonshot says K3.1 Pro and K3.1 Pro Highspeed (2–3× faster) are live on Kimi.ai, Kimi Work, Kimi Code and the Kimi API (model ids kimi-k3.1-pro and kimi-k3.1-pro-highspeed). Open weights are promised by November 4, 2026.