Atlassian announced new Jira features intended to run AI coding agents for always-on, long-duration software development with governance and validation. The update includes a “Code Context” grounding layer built on its Teamwork Graph, letting agents operate across multi-repository projects so they can be restricted and reviewed. This shifts teams from ad hoc, chatbot-like prompting to automatically generating code merge requests and keeping documentation in sync over hours or days.
Robutler raised $400,000 from ZAS Ventures to build a public software platform where apps are free and makers can remix and earn revenue shares. The funding came from ZAS Ventures’ Fund I and Fund II, its first institutional investment in Robutler. Robutler will expand its agent-discovery and trust-and-payments infrastructure, including its Web of Agents and related protocols for agent identity and messaging.
AsyncGRPOTrainer in TRL v1.14 was updated to train a LoRA adapter and sync only the adapter to vLLM replicas running in separate Hugging Face Jobs, using a Storage Bucket mount plus a proxy rather than NCCL. Five runs using the same recipe for 500 steps fell from 3 h 27 min to 53 min. The setup changes training-inference coordination by persisting versioned adapters to shared storage, having the proxy route rollouts to replicas with matching KV prefixes, and requiring vLLM to load/unload adapters at runtime while checkpoints can resume after preemption.
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