OpenAI Bought a Whole Company So Codex Could Code 25 Hours After You Close Your Laptop

2026-06-17 · Source: Towards AI - Medium · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Software Development & Engineering · Depth: Intermediate, quick

Summary

OpenAI acquired Ona, formerly Gitpod GmbH, on June 11, 2026, for an undisclosed sum, specifically to enable its Codex agents to operate continuously for hours or days without human intervention, even after a user closes their laptop. This acquisition addresses a critical infrastructure problem that previously limited agent longevity. A documented Codex run demonstrated this capability by operating for 25 hours uninterrupted, consuming approximately 13 million tokens, and generating around 30,000 lines of code autonomously. This development shifts the focus in AI coding tools from model performance to agent persistence and unattended task completion, marking a significant advancement in autonomous code generation.

Key takeaway

For AI Engineers focused on autonomous development, this acquisition signals a critical shift towards agent persistence over raw model performance. You should investigate integrating solutions like Ona's technology to enable your Codex agents to execute long-running coding tasks unattended, freeing up developer time and accelerating project timelines. Prioritize infrastructure that supports continuous agent operation to maximize productivity.

Key insights

OpenAI's acquisition of Ona enables Codex agents to perform long-duration, unattended coding tasks, shifting the AI coding frontier to agent persistence.

Principles

• Agent persistence is a new frontier.
• Infrastructure limits agent longevity.
• Unattended operation is key.

Method

The article implies a method for setting up Codex for extended, unattended operation, which the author claims can be done in about five minutes.

In practice

• Set up Codex for long tasks.
• Explore agent persistence tools.

Topics

• OpenAI
• Codex
• AI Agents
• Autonomous Coding
• Gitpod
• Agent Persistence

Best for: AI Engineer, Software Engineer, Director of AI/ML

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Editorial summary, takeaway, and curation by AIssential. Original article published by Towards AI - Medium.