ML Development in VS Code with Google Cloud Power: Workbench Extension Now Available
For data scientists and developers, the ideal workflow combines the familiarity of a local IDE with the heavy-lifting capabilities of the cloud. Today, we are bridging that gap with the launch of the Google Cloud Workbench Notebooks extension for VS Code. This new tool allows you to harness the scalable infrastructure of Google Cloud directly within your local development environment.Gemini Enterprise Agent Platform Workbench has long been a go-to platform for managed Jupyter environments optimized for data science.
- ▪For data scientists and developers, the ideal workflow combines the familiarity of a local IDE with the heavy-lifting capabilities of the cloud.
- ▪Today, we are bridging that gap with the launch of the Google Cloud Workbench Notebooks extension for VS Code.
- ▪This new tool allows you to harness the scalable infrastructure of Google Cloud directly within your local development environment.Gemini Enterprise Agent Platform Workbench has long been a go-to platform for managed Jupyter environments op
Google Developers Blog files mainly under programming. We currently carry 20 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
inspect →
Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | Google Developers Blog |
| Canonical URL | https://developers.googleblog.com/ml-development-in-vs-code-with-google-cloud-power-workbench-extension-now-available/ |
| Publication time | Not provided by source |
| Retrieval time | 2026-07-25T23:18:53.148Z |
| Last seen | 2026-07-25T23:19:03.091Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | vOTItRJtXtUs |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
For data scientists and developers, the ideal workflow combines the familiarity of a local IDE with the heavy-lifting capabilities of the cloud. Today, we are bridging that gap with the launch of the Google Cloud Workbench Notebooks extension for VS Code. This new tool allows you to harness the scalable infrastructure of Google Cloud directly within your local development environment.Gemini Enterprise Agent Platform Workbench has long been a go-to platform for managed Jupyter environments optimized for data science. By bringing Workbench into VS Code, we are enabling a more fluid experience where you can manage your code and cloud-based notebooks in a single interface.This integration is specifically designed to streamline the ML lifecycle.
…
Excerpt limited to ~120 words for fair-use compliance. The full article is at Google Developers Blog.
Discussion
0 commentsMore from Google Developers Blog
