OpenAI named a Leader in enterprise coding agents by Gartner
OpenAI is named a leader in the 2026 Gartner Magic Quadrant for Enterprise AI Coding Agents, with Codex recognized for innovation and enterprise-scale deployment.
Scott Wu, CEO and Co-Founder of Cognition, explains how OpenAI o1 makes coding decisions in a more human-like way.
OpenAI is named a leader in the 2026 Gartner Magic Quadrant for Enterprise AI Coding Agents, with Codex recognized for innovation and enterprise-scale deployment.
OpenAI and CodeAI have joined forces to help students develop AI literacy, encouraging critical thinking about AI and equipping them with the skills to use and shape it responsibly. The partnership focuses on building foundational knowledge and responsible use of AI technologies among learners. By collaborating, the two organizations aim to foster a generation of students who are both knowledgeable and conscientious about AI.
How OpenAI uses chain-of-thought monitoring to study misalignment in internal coding agents—analyzing real-world deployments to detect risks and strengthen AI safety safeguards.
OpenAI is a non-profit artificial intelligence research company. Our goal is to advance digital intelligence in the way that is most likely to benefit humanity as a whole, unconstrained by a need to generate financial return.
The article discusses how coding agents are transforming AI research within OpenAI. It presents early data on agent usage, experiment velocity, task complexity, and the resulting acceleration of research. The piece highlights the growing role of these agents in speeding up development and experimentation.
Already a nonprofit, and already using AI to help people solve hard problems, OpenAI aims to build the best-equipped nonprofit the world has ever seen—combining potentially historic financial resources with something even more powerful: technology that can scale human ingenuity itself.
OpenAI and Japan’s Digital Agency partner to advance generative AI in public services, support international AI governance, and promote safe, trustworthy AI adoption worldwide.
In this post we’ll outline new OpenAI research in which agents develop their own language.
The study evaluates OpenAI’s o1‑preview large language model on a wide range of complex reasoning tasks across domains such as computer science, mathematics, natural sciences, medicine, linguistics, and social sciences. It reports high success rates, including 83.3% on competitive programming, 100% on high‑school math reasoning, and superior performance in radiology reporting, chip design, anthropology, geology, quantitative investing, and social media analysis. While the model excels at intricate reasoning and knowledge integration, it still shows occasional errors on simpler problems and struggles with some highly specialized concepts.
A vision for the future of AI, focusing on access, safety, and shared prosperity as OpenAI works to ensure AGI benefits everyone.
How OpenAI’s creative team uses Codex to build custom creative tools, accelerate ideation, and prototype faster with context-aware AI.
OpenAI reflects on ten years of progress, from early research breakthroughs to widely used AI systems that reshaped what’s possible. We share lessons from the past decade and why we remain optimistic about building AGI that benefits all of humanity.