
I would like to know AI babysitters!
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by Our Founder/CEO&CTO Hiroyuki Chishiro
- He has been involved in 12 years of research on real-time systems.
- He teaches OS (Linux kernel) in English at the University of Tokyo.
- From September 2012 to August 2013, he was a visiting researcher at the Department of Computer Science, the University of North Carolina at Chapel Hill (UNC), Chapel Hill, North Carolina, United States. He has been involved in research and development of real-time Linux in C language.
- He has experienced in more than 15 years of programming languages: C/C++, Python, Solidity/Vyper, Java, Ruby, Go, Rust, D, HTML/CSS/JS/PHP, MATLAB, Verse (UEFN), Assembler (x64, ARM).
- While a faculty member at the University of Tokyo, he developed the "Extension of LLVM Compiler" in C++ language and his own real-time OS "Mcube Kernel" in C language, which he published as open source on GitHub.
- In January 2020-Present, he is CTO of Guarantee Happiness LLC, Chapel Hill, North Carolina, United States, in charge of e-commerce site development and web/social network marketing. In June 2022-Present, he is CEO&CTO of Japanese Tar Heel, Inc. in Chapel Hill, North Carolina, United States.
- We have been engaged in disseminating useful information on AI and Crypto (Web3), and working on game development with Unreal Editor for Fortnite (UEFN).
- We have written more than 20 articles on AI including AI chatbots such as ChatGPT, Auto-GPT, Gemini (formerly Bard). He has experience in contract work as a prompt engineer, manager, and quality assurance (QA) for training ChatGPT/Gemini in several companies in San Francisco, United States (Silicon Valley in the broadest sense of the word).
- We have written more than 40 articles on cryptocurrency (including smart contract programming). He has experience as an outsourced translator of English articles on cryptocurrency into Japanese for a company in London, England.
- We have developed more than 10 games on UEFN and published on Fortnite (Fortnite, Fortnite.GG).
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Table of Contents
What are AI Babysitters?
AI babysitters (vibrator code modifier) are engineers who modify the code (vibe code) created by vibe coding with ChatGPT and other methods.
This is because the vibe code is at the baby level, so it requires a caretaker (sitter) to enable it to be used at the product level.
If you want to know how to start and use ChatGPT, please click the following.
Vibe coding refers to a development style in which the code is quickly "guessed" using AI assistants and prototyping, while verbalizing the feeling (vibe) of "this is the atmosphere and direction I want to create," rather than starting from a strict design or specification document.
The origin of vibe coding was proposed by Andrej Karpathy in February 2025.
Vibe coding is realized by using a generative AI such as ChatGPT.
Explanatory videos of vibe coding are as follows.
Advantages of vibe coding include the following.
- Fast initial speed
- Quick prototyping
- Easy to change ideas and explore (easy to test the "feel" of the UI)
- Easy to involve non-engineers and designers
However, the disadvantages of vibe coding include the following.
- Design debt can easily accumulate (must be refactored later)
- Consistency and quality control need to be consciously implemented (types, tests, and Lint are added afterwards)
- Risk of security and performance degradation
To solve the above disadvantages, a new job opportunity called AI babysitters has been created.
AI babysitters are required to have a high technical level, like senior engineers, because they need to review and modify the code output by the generated AI.
The top-tier AI babysitters charge more than $200 per hour, which can be very lucrative.
Introductory Articles and Videos about AI Babysitters
Introductory articles about AI babysitters are as follows.
- Vibe coding has turned senior devs into ‘AI babysitters,’ but they say it’s worth it
- Senior Developers Say AI Code Needs “Babysitting” but They Still Trust It
- AI Coding Assistance Creates 'Vibe Fixing' Burden for Senior Developers
Introductory videos about AI babysitters are as follows.
Job Sites Specializing in AI Babysitters
Job sites specializing in AI babysitters are as follows.
Jobs for AI babysitters are likely to become popular in the future!
Of course, you may find jobs for AI babysitters by searching the following keywords on existing job sites.
- "vibe coded" fix
- debug "AI-generated code"
- post-vibe refactor
Summary
We introduced AI babysitters (vibe code fixers) that modify the code generated by vibrational coding by ChatGPT and other methods.
AI babysitters are necessary to improve the quality of vibe codes.
If you would like to know the recommended job sites for AI Engineers, please click the following.
If you would like to know the recommended job sites for Prompt Engineers, please click the following.