Shopify CEO Tobi Lütke said he is considering banning Claude Code at Shopify unless Anthropic supports reading AGENTS.md and related files. The key issue is that AGENTS.md support is missing: Anthropic has already closed a request focused on recursive AGENTS.md discovery as “not planned.” As a result, Shopify may restrict Claude Code use until its agents can follow the same instructions across Shopify’s monorepo, reducing split-context “split brain” among developers.
AI coding agents have intensified a debate about whether changes should be generated and reviewed in IDEs or CLIs, but the article argues the real issue is how teams verify proposed code before it spreads. It says teams should use a layered verification loop including local checks, pull request checks, and CI as a backstop where CI should confirm earlier work rather than be the first place issues are found. As a result, workflows shift to build-in controls that travel with the agent output in either environment, make project context available to the agent, and design for human review rather than faster code generation.
Google Labs launched “Play with Putty,” its 14th launch from the group. The release is the 14th launch from Google Labs. It introduces a real-time collaborative “vibe coding” environment that uses AI to help people build with less disruption to their creative flow.
The page titled “Warren” provides a discussion link about infrastructure for coding-agent workloads. No numbers, benchmarks, prices, or dates are provided. As a result, there’s not enough information here to determine any change in AI products, research, or deployment.
Airtop launched Agent Builder, a no-code tool that turns plain-English workflows into coded automations (agents) that can repair themselves when a run breaks. It says Airtop Agents are up to 100x more efficient than traditional LLM-per-step AI agents. As a result, agent failures trigger automatic investigation, step rebuilds, and verification on a real test run.
Nimble launched Web Search Agents, self-learning web research and retrieval agents for specific domains. The launch is dated “today.” The tool is positioned to automate deeper crawling and source selection based on a link provided for onboarding.
ARBR launched as an open-source control layer for applications using multiple AI models and providers.
It positions an OpenAI-compatible endpoint as the connection method.
Developers can now route, govern, observe, evaluate, and deploy across AI models from one place.
Andrew Ng relaunches DeepLearning.ai with a focus on AI engineering skills, outlining categories such as building and deploying AI apps, software fundamentals, coding agents, and shaping product builds. The relaunch is based on an analysis of over 10,000 job postings plus dozens of structured interviews. This reframes AI engineering training around practical skill sets and evaluation/error loops rather than only model usage or prompt techniques.
The Admin plugin for ChatGPT Work and Codex was introduced to let admins analyze workspace usage, manage members and permissions, adjust limits, and handle admin requests.
Gradio introduced gr.Workflow to let developers build AI pipelines as a typed node graph with a drag-and-drop canvas and run the same workflow as a deployable app and REST API. The workflow can be deployed to Hugging Face Spaces with a one-command deploy. Outputs automatically become separate REST endpoints and the workflow can be called directly from code or via curl, including GPU-bound fn nodes using ZeroGPU.
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