GitHub explains how to use /create-canvas in the Copilot app: describe the workflow, what you want to do in the interface, and what the agent should do, and the agent builds an interface in the side panel. Users and agents can both update a canvas, which can be saved as a personal extension or shared with a team.
Developers can now deploy Qwen3-TTS-12Hz-1.7B-Base from SageMaker JumpStart to a managed real-time inference endpoint and clone a voice using a few seconds of reference audio and its transcript. The walkthrough uses one 24 GB NVIDIA L4 GPU and requires a speech route when invoking the endpoint. The model also supports generating speech in another language from a reference recording.
Thariq Shihipar recommends low effort for quick iteration in Claude Code and higher settings for tasks that need verification or edge-case testing. In internal runs, Fable 5.1’s success count on an HTML sanitizer task rose from 1/5 at low effort to 5/5 at xhigh. The figures come from five attempts per task and are not directly comparable with the public leaderboard.
The tutorial presents a four-account reference implementation: business teams expose data as MCP tools in their own accounts, while an agent in a central account queries them through one Gateway. Tools return only the requested results, leaving source datasets in their owning accounts; the example uses Okta authentication and per-user authorization at the Gateway.
The guide shows how locally running OpenCode can call open-weight models through the Amazon Bedrock Converse API and assign different models to planning and code-generation tasks. Its examples use Kimi K3, GPT-OSS 120B, and Nemotron 3 Super 120B; users need Bedrock access and access to the relevant models.