AI，编码和GitHub首席执行官：为什么人类开发人员不去任何地方

Github首席执行官Thomas Dohmke强调，AI不会取代人类编码人员，而将增强其能力。发现AI如何转换编码以及开发人员仍然扮演的重要角色。

AI, Coding, and the GitHub CEO: Why Human Developers Aren't Going Anywhere

AI，编码和GitHub首席执行官：为什么人类开发人员不去任何地方

GitHub CEO Thomas Dohmke believes AI is a co-pilot, not a replacement, for developers. Despite AI's rise in coding, human expertise remains crucial for quality and innovation.

GitHub首席执行官Thomas Dohmke认为，对于开发人员而言，AI是副驾驶，而不是替代者。尽管AI在编码方面的增加，但人类专业知识仍然对质量和创新至关重要。

The Human Touch in the Age of AI Coding

人工智能编码时代的人类触摸

In a recent interview, GitHub CEO Thomas Dohmke addressed the buzz around AI potentially making traditional coding skills obsolete. His take? Not so fast. While AI is undoubtedly changing the game, the ability to write and understand code manually is still a must-have for developers.

在最近的一次采访中，Github首席执行官托马斯·多赫姆（Thomas Dohmke）围绕AI的嗡嗡声可能使传统的编码技巧过时。他的看法？不那么快。尽管AI无疑正在改变游戏，但手动编写和理解代码的能力仍然是开发人员的必备品。

Dohmke envisions a world where AI assists in generating code, submitting pull requests, and generally speeding things up. However, he stresses the importance of human programmers stepping in to refine and adjust the output. This hybrid approach, he argues, is the key to efficient development and high-quality code.

Dohmke设想了一个世界，AI有助于生成代码，提交拉动请求以及通常加速事件。但是，他强调了人类程序员介入以完善和调整输出的重要性。他认为，这种混合方法是有效开发和高质量代码的关键。

AI as a Complement, Not a Substitute

AI作为补充，而不是替代

Dohmke's views align with a growing consensus in the tech world. AI is proving to be a powerful tool for automating repetitive tasks, such as writing boilerplate code. However, human oversight is essential to ensure accuracy and correctness. Studies show that AI can boost productivity, saving developers up to 20 minutes daily. But that's only when it's used correctly.

Dohmke的观点与技术界越来越多的共识相吻合。 AI被证明是自动重复任务的强大工具，例如编写样板代码。但是，人类的监督对于确保准确性和正确性至关重要。研究表明，AI可以提高生产率，每天节省多达20分钟的开发人员。但这仅在正确使用时。

The "trust and verify" approach is becoming increasingly important. While AI-generated code can be impressive, it often contains subtle errors that require human correction. Even Google, a leader in AI development, subjects every line of AI-generated code to rigorous review by engineers.

“信任和验证”方法变得越来越重要。尽管AI生成的代码可能令人印象深刻，但它通常包含需要人类纠正的微妙错误。即使是AI开发领域的领导者Google，也会对AI生成的代码的每一行对工程师进行严格的审查。

The Rise of the AI Orchestrator

AI编排者的崛起

AI is redefining the role of the software developer. Instead of replacing jobs, it's transforming coders into "AI orchestrators" – individuals who guide automated tools with strategic direction while ensuring software quality. This shift has created new opportunities for engineers who use AI for rapid iteration and architects who focus on robust, scalable, and secure designs. For junior developers, AI can be a significant productivity booster, while experienced programmers can focus on higher-level problems.

AI正在重新定义软件开发人员的角色。它没有替换作业，而是将编码人员转换为“ AI编排者”，这些个人在确保软件质量的同时指导具有战略方向的自动工具。这种转变为使用AI进行快速迭代的工程师和专注于强大，可扩展和安全设计的建筑师创造了新的机会。对于初级开发人员而言，AI可以成为重要的生产率促进，而经验丰富的程序员可以专注于更高层次的问题。

Vibe Coding: The Perils of Over-Reliance on AI

VIBE编码：过度依赖AI的危险

Dohmke also touched on the trend of "vibe coding," a term coined by OpenAI’s Andrej Karpathy. This refers to a development style where programmers rely heavily on AI without fully understanding or verifying the code. While vibe coding can lead to fast prototyping, especially in startups, it also poses risks. Poorly vetted AI code can result in technical debt, security vulnerabilities, and fragile architectures. Larger companies tend to combine AI acceleration with thorough human checks, a model that Dohmke recommends others should follow.

Dohmke还谈到了由Openai的Andrej Karpathy创造的术语“ Vibe编码”的趋势。这是指程序员在不完全理解或验证代码的情况下严重依赖AI的开发方式。虽然Vibe编码可以导致快速原型制作，尤其是在初创企业中，但它也带来了风险。审查不良的AI代码可能会导致技术债务，安全漏洞和脆弱的体系结构。大型公司倾向于将AI加速度与彻底的人类检查相结合，Dohmke建议其他人应遵循的模型。

Looking Ahead: The Future of AI and Coding

展望未来：AI和编码的未来

While AI continues to evolve, it's clear that human developers aren't going anywhere. Instead, they're adapting and evolving alongside AI, becoming more efficient and effective in the process. As Dohmke points out, AI is a tool that can enhance our abilities, but it's not a replacement for human expertise.

尽管人工智能继续发展，但很明显，人类开发人员不会去任何地方。取而代之的是，他们正在与AI一起进行适应和发展，在此过程中变得更加有效。正如Dohmke指出的那样，AI是一种可以增强我们能力的工具，但这并不是人类专业知识的替代品。

So, don't throw away your keyboard just yet. The future of coding is a collaboration between humans and machines, and it's looking pretty bright.

因此，不要丢掉键盘。编码的未来是人类与机器之间的合作，它看起来很光明。