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PratapDarpan > Blog > Tech Hub > This man is vs. machine: Openai says fast chat means fast engineer
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This man is vs. machine: Openai says fast chat means fast engineer

PratapDarpan
Last updated: 13 June 2025 19:46
PratapDarpan
5 days ago
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This man is vs. machine: Openai says fast chat means fast engineer
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This man is vs. machine: Openai says fast chat means fast engineerOpenai’s focus on improving the coding skills of Chatgpt is helping its own engineers to function more efficiently. Result? A loop where better AI leads to better engineering, and better engineering leads to better AI.In short

This man is vs. machine: Openai says fast chat means fast engineer

Openai’s focus on improving the coding skills of Chatgpt is helping its own engineers to function more efficiently. Result? A loop where better AI leads to better engineering, and better engineering leads to better AI.

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This man is vs. machine: Openai says fast chat means fast engineer
Aman Rashid
Aman Rashid
New Delhi,Update: June 13, 2025 19:46 IST

In short

  • Openai is using AI to speed up its own engineering
  • Rapid engineer chats help to create smarter AI tools
  • Holy AI then makes engineers even more efficient

Openai is not just creating a smart AI tool for the world – it is using them rapidly to make themselves. According to one recently Commercial insider Report, Openai’s focus on improving coding skills of Chatgpt is helping its own engineers to function more efficiently. Result? A loop where better AI leads to better engineering, and better engineering leads to better AI. Openai’s Chief Product Officer Kevin Well clearly explained it: “If we can speed up coding, if we can make, you know, every engineer is more effective, we make ourselves more effective. And so we can build more faster.”

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This quotation gives us a glimpse of how Openai sees its development process. It is not just a man using a machine – this man and machine helps each other move faster. Engineers are writing code with the help of AI, and the same AI is improving due to engineers. This makes this situation so unique.

Openai is another reason focused on coding, as it is easier to track progress here than other functions such as writing or drawing. As Vel says, “This is also a relatively graduate work – you can tell, such as in mathematics or other things, if you get the answer correct.”

It also helps that Openai’s own team knows this place well. Most of its engineers already specialize in programming. So when they are trained to codes the AI ​​model better, they are doing it with real world knowledge and experience. “This is also something that is familiar with our engineers,” Well said. “So, this is a problem place that they understand and have good intuition for it.”

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Openai is also investing heavily at this place. Earlier this year, it bought Windsurf – a startup that created a popular AI coding tool – a reported $ 3 billion. This is a clear indication that the company believes that this area is worth money and attention.

According to the report, Weel also said that coding is an ideal place to innovate because it is a large market full of people who prefer to try new things. “This is also a huge market,” he said. “This is also a market full of early adopters – you know, technologists bow into it.”

Unlike industries such as healthcare, where strict rules slow down things, software development gives companies more freedom to manufacture and test new equipment. Vel said, “This is also, you know, relatively open and irregular.

But when it all seems exciting, there are also concerns. Many developers – especially to start those people – worry that equipment such as chat can eventually change them. This fear has been around for some time, but it has been getting stronger because AI gets better in coding.

Nevertheless, Openai says that the goal is not to change engineers, but to make them more productive. And if it in turn makes AI self-clever, Openai sees it as a win-win.

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