Openai Codex Visual Code

Codex, OpenAI and Ona

OpenAI Acquires Ona to Run Codex Coding Agents for Hours Without Your Computer On

OpenAI announced on June 11, 2026 that it will acquire Ona, officially Gitpod GmbH, a German startup whose platform runs AI agents in cloud-based sandboxes, SiliconANGLE reported. Terms were not disclosed.

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OpenAI Buys Ona To Run Codex Agents Inside Enterprise Clouds

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OpenAI to acquire Ona to support its AI coding assistant, Codex

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Anthropic v. OpenAI: Behind the bitter battle for the future of AI

If not for the intense rivalry between Anthropic and OpenAI, the generative AI boom might not have arrived so quickly.

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The AI price war is here, piling pressure on OpenAI and Anthropic

CIO · 22h

OpenAI buys Ona to help rein in AI agents

Visual Studio Magazine

Claude Code Edges OpenAI's Codex in VS Code's Agentic AI Marketplace Leaderboard

Anthropic's Claude Code for VS Code has surpassed OpenAI's Codex extension in Visual Studio Code Marketplace installs and review volume despite launching later. OpenAI positions Codex as an IDE pairing tool plus a way to delegate larger coding tasks to the ...

16don MSN

AI coding trade showing cracks? Claude Code, Codex growth suddenly slows as budgets may be running dry, researcher says: 'It's clear that growth'

Artificial intelligence coding tools such as Anthropic's Claude Code and OpenAI Codex showed signs of slowing after surging earlier this year, with independent AI researcher Rihard Jarc citing infrastructure limitations and softer enterprise spending.

Fast Company

Inside OpenAI’s fast-growing Codex: The people building the AI that codes alongside you

Generating computer code has emerged as one of the first AI applications making a measurable impact in business. But tools like Codex and Anthropic’s Claude Code have evolved far beyond simple code generators. Powered by more capable models, they ...

eWeek

OpenAI GPT-5 Codex Update: AI Code Reviews Are Faster and Smarter

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to insights, and supporting a growing range of workloads.