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GITHUB CEO warns developers to embrace AI or quit coding

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GITHUB CEO warns developers to embrace AI or quit coding

Github CEO Thomas Dohmke has issued a clear warning to software engineers, working with AI or learning to be ready to get out of the field.

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GITHUB CEO warns developers to embrace AI or quit coding
Githb CEO Thomas Dohmke

In short

  • Github CEO Thomas Dohmke has issued warning to software engineers
  • He said in a blog post that developers need to learn to work with AI or get ready to get out of the field.
  • Dohmke also warned that this change brings a challenge

Github CEO Thomas Dohmke has issued a clear warning to software engineers, working with AI or learning to be ready to get out of the field. In a blog post called “Developers, Rainvanted”, Dohmke said that AI is already changing how the software has been created, and the change is so deep that the very role of a developer is being defined again.

His comments were based on a conversation with 22 developers who are already using AI in their work. According to him, his experiences prove that AI is no longer a distant idea, but a day-to-day reality. Many of these developers began doubting about AI tools such as Gitab Copilot, but over time, they began relying on them as an integral part of their workflow.

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Dohmke reported that these developers have evolved from traditional coders, which they have called “Code Embniters” or “Creative Director of Code”. Instead of spending all their time to type the code, they now guide the AI system as to what to build, set references for the work, and carefully review the output to ensure that it meets the requirements. He said that change is less about doing less work and more about doing different things.

According to him, by adopting AI tool quickly, developers can get an advantage instead of making them meaningless. Along with AI, tasks that were very complex or time taking, such as coordinating several AI agents to create large -scale code restructuring or new features, are now possible. Developers who understand how to integrate AI in these procedures can take more ambitious projects than before.

However, Dohm also warned that this change brings a challenge. People who do not leave the risk behind. He said that the pace of change is fast, and some developers estimate that AI may write up to 90 percent of all codes within the next two to five years. If this happens, the most valuable skills will no longer be fully about writing the code, but it will include the system architecture, understanding how AI works, AI manages tasks, and ensures quality control.

This is not the first time the tech industry has sent such a message. Julia Liuson, a senior executive of Microsoft, who is the original company of Github, recently told the employees that “using AI is no longer alternative to using AI.” While some have criticized the approach that as a intimidation strategy for adoption, it reflects urgency with which many technical leaders look into the transition.

Dohmke admitted that everyone in the profession could not find this change attractive. For some, the idea of managing the AI system may feel less satisfactory instead of crafting code individually. But he argued that, in a way, developers are always working at some level of abstraction using programming languages to tell the computer to tell what to do. The new model simply increases that level, now instructs AI agents instead of directly controlling every detail with developers.

He also said that this change should not be seen as reducing the value of the developer’s work. Instead, it expands what is possible. By using AI as an associate, developers can move rapidly, make high targets, and deal with challenges that seemed impossible once.

– Ends

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