Dongcha reports that OpenAI upgraded Codex at DevDay Codex Cloud, supporting the handoff of local tasks to the cloud

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Codex Cloud Upgrade: Local tasks can now be handed directly to the cloud to continue running

Dongcha Beating AI breaking news: OpenAI rolled out a major update for Codex at DevDay.Codex Cloud You can now save a reusable cloud development environment for a project, including the code repository, dependencies, tools, and permission settings, and reuse it thereafter.

Developers can start tasks directly in the cloud, or hand work currently being handled by local Codex to Cloud to continue running. The cloud uses its own project workspace to continue modifying code and running tests, and no longer depends on the local computer once the task starts. Even if the computer goes to sleep, users can return later from the desktop, web, or mobile app to view the results and then sync the changes back locally.

Codex CLI also adds voice control and a new /agents page, allowing work to be assigned to multiple Agent. The desktop app adds Code Review, supporting GitHub PR and GitLab Merge Request, and can also hand the first round of code review to the cloud.

Codex Security Cloud has also enhanced automated security checks. It can continuously inspect new code commits or regularly scan an entire GitHub repository, investigate vulnerabilities, deduplicate findings, and prepare remediation plans. Daybreak Blue is now included directly and no separate application is required.

Original link https://m.theblockbeats.info/flash/369682

Key points

Dongcha Beating AI reports that OpenAI updated Codex at DevDay.
Codex Cloud It reportedly supports saving reusable cloud development environments, including code repositories, dependencies, tools, and permission settings.
Developers can reportedly start tasks in the cloud or hand work currently being handled by local Codex to Cloud for continued execution.
Cloud tasks reportedly use an independent project workspace, where code can continue to be modified and tests run, without depending on the local computer once the task starts.
Codex CLI Voice control and an /agents page were reportedly added, allowing work to be assigned simultaneously to multiple Agent。
The desktop app reportedly adds Code Review, supporting GitHub PR and GitLab Merge Request, and allowing the first round of code review to be handed to the cloud.
Codex Security Cloud reportedly supports continuously checking new code commits or regularly scanning an entire GitHub repository, as well as investigating vulnerabilities, deduplicating findings, and preparing remediation plans.
The report also says that Daybreak Blue is included and does not require a separate application.

AI-assisted interpretation

The following is analysis, separate from reported facts. Verify important claims independently.

In simple terms, this report describes a set of features that move development work to the cloud for continued execution: developers can preconfigure an environment, have the cloud modify code and run tests, and later view the results from the desktop, web, or mobile app before syncing the changes back locally. The report also mentions voice control, collaboration among multiple Agent, code review, and security checks.

Why it matters to readers

If the report is accurate, development tasks can continue running while the local computer is offline, and code review and security checks can also be handled in the cloud.

You can think of it this way: first configure the project environment in the cloud, then let the cloud perform development, testing, review, or security-check tasks on your behalf.

Risks and unknowns

The evidence consists solely of media reports; no official OpenAI announcement, product documentation, or on-site materials were provided.
The actual availability, pricing, and regional restrictions of the feature remain unclear.
The formal support status of code review integrations with GitHub and GitLab remains unclear.

Dongcha reports that OpenAI upgraded Codex at DevDay Codex Cloud, supporting the handoff of local tasks to the cloud

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