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AI is already having a seismic impression on how software program is written, with a lot of the grunt work of programming now carried out by swarms of brokers and subagents. However as builders experiment with new interfaces and type elements for human-AI collaboration, it’s change into laborious for even probably the most superior AI labs to maintain up.
The present pattern is for agentic software program growth — programs the place AI brokers can work independently on coding duties — epitomized by the Claude Code and Cowork apps. Within the meantime, OpenAI has been step by step constructing out its Codex device, which launched as a command line device final April and expanded to an internet interface one month later.
Now OpenAI is taking a serious step towards catching up. On Monday, the corporate launched a brand new macOS app for Codex, integrating lots of the agentic practices which have change into fashionable up to now yr. The brand new app is designed to work with a number of brokers in parallel, integrating agent abilities and different state-of-the-art workflows. The launch additionally comes lower than two months after the launch of GPT-5.2-Codex, OpenAI’s strongest coding mannequin, which the corporate hopes will probably be sufficient to tempt over Claude Code customers.
“For those who actually need to do subtle work on one thing advanced, 5.2 is the strongest mannequin by far,” CEO Sam Altman instructed reporters on a press name. “Nevertheless, it’s been tougher to make use of, so taking that degree of mannequin functionality and placing it in a extra versatile interface, we predict goes to matter fairly a bit.”
Whereas Altman’s confidence in GPT-5.2 is comprehensible, coding benchmarks inform a extra difficult story. GPT-5.2 does maintain the highest spot on TerminalBench (a take a look at measuring how effectively AI handles command-line programming duties), no less than as of press time. However brokers from Gemini 3 and Claude Opus have logged roughly equal scores — decrease, however inside the margin of error of the benchmark. Outcomes from SWE-bench, one other coding benchmark that checks AI’s means to repair real-world software program bugs, are related, exhibiting no clear benefit for GPT-5.2. Nevertheless, agentic use circumstances have been tough to benchmark successfully, and state-of-the-art fashions can range considerably in person expertise.
The Codex app additionally comes with a variety of latest options that OpenAI says will assist it obtain parity or, in some circumstances, outpace the varied Claude apps. The Codex app will permit for automations that may be set to run within the background on an automated schedule, with outcomes positioned in a queue to be reviewed when the person returns. Customers can even choose totally different personalities for the agent — from pragmatic to empathetic — relying on their working type.
However for the corporate, the largest promoting level is the sheer pace of growth that’s made attainable by AI. “You should utilize this from a clear sheet of paper, model new, to make a extremely fairly subtle piece of software program in a couple of hours,” Altman mentioned. “As quick as I can sort in new concepts, that’s the restrict of what can get constructed.”
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