🤖AI-built Website Engine Challenges Traditional Dev Practices
AI-built site engine outperforms human coding
TL;DR
An AI-generated website engine built by a self-taught developer with a Ph.D. in Physics shows how AI can automate complex tasks like building, testing, and reviewing code. The author, who initially doubted AI's capabilities, now sees its potential in software development.
An AI-generated website engine built by a self-taught developer with a Ph.D. in Physics shows how AI can automate complex tasks like building, testing, and reviewing code. The author, who initially doubted AI's capabilities, now sees its potential in software development. This shift challenges traditional coding practices, especially for those working with Kubernetes and low-level protocols. The author's website, featuring a tag engine and timeline, was built using AI-generated code trained on public internet code, including their own. This highlights the need for developers to adapt and trust AI in their workflows.
Key Points
The author has a Ph.D. in Instrumentation Physics and learned software development independently.
The author specialized in low-level protocols and async patterns, programming in Perl, PHP, Python, Node, and Java.
The author rarely used an IDE, preferring Vim for coding.
The author's website features a tag engine and timeline, built using AI-generated code.
The author now trusts AI to build, test, and review code, changing their initial doubts.
Why It Matters
If you're working with Kubernetes or low-level protocols, this shift challenges traditional coding practices. The author's website, built using AI-generated code, shows the potential for AI in software development. Developers need to adapt and trust AI in their workflows to stay competitive.
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