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How to use Chat GPT
in JavaScript optimizations for Node.js
Timur Shemsedinov
github.com/tshemsedinov
Chief Software Architect at Metarhia, CTO at Salucyber
Lecturer at Kiev Polytechnic Institute & Kiev School of Economics
Research approach
● Complex tasks: requires deep understanding of
JavaScript, Node.js, OOP, patterns, async, etc.
● Not common tasks: solutions can't be found
easily in the web
● Interesting and useful tasks: can be put into
practice
Research objectives
Find answers:
● Сan AI replace the developer (now, near future) ?
● What affects chat gpt code quality?
Learn how to...
● Prepare prompt for chat GPT
● Build a dialogue to get the desired result faster
Tasks
● Network protocol (over websocket) streaming
chunk encode/decode with typed arrays
● Promise chain and async I/O code optimization
for reading app configuration with defaults
● Buffer prefetcher for generation cryptographically
strong pseudorandom numbers
Conclusions
● As of now Chat GPT requires detailed prompt
● Preparing such a prompt takes a lot of time and
requires high knowledge comparable to the
manual optimization
● Version 3.5 and 4 gives almost equal bad result
with short prompt and almost equal good result
with detailed prompt
Links
● Chunk encode/decode with typed arrays:
https://github.com/HowProgrammingWorks/ChatGPT/tree/main/JavaScript/1-Chunk
● Promise chain and async code optimization:
https://github.com/HowProgrammingWorks/ChatGPT/tree/main/JavaScript/2-Promise
● Crypto random prefetcher:
https://github.com/HowProgrammingWorks/ChatGPT/tree/main/JavaScript/3-Prefetcher

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How to use Chat GPT in JavaScript optimizations for Node.js

  • 1. How to use Chat GPT in JavaScript optimizations for Node.js Timur Shemsedinov github.com/tshemsedinov Chief Software Architect at Metarhia, CTO at Salucyber Lecturer at Kiev Polytechnic Institute & Kiev School of Economics
  • 2. Research approach ● Complex tasks: requires deep understanding of JavaScript, Node.js, OOP, patterns, async, etc. ● Not common tasks: solutions can't be found easily in the web ● Interesting and useful tasks: can be put into practice
  • 3. Research objectives Find answers: ● Сan AI replace the developer (now, near future) ? ● What affects chat gpt code quality? Learn how to... ● Prepare prompt for chat GPT ● Build a dialogue to get the desired result faster
  • 4. Tasks ● Network protocol (over websocket) streaming chunk encode/decode with typed arrays ● Promise chain and async I/O code optimization for reading app configuration with defaults ● Buffer prefetcher for generation cryptographically strong pseudorandom numbers
  • 5. Conclusions ● As of now Chat GPT requires detailed prompt ● Preparing such a prompt takes a lot of time and requires high knowledge comparable to the manual optimization ● Version 3.5 and 4 gives almost equal bad result with short prompt and almost equal good result with detailed prompt
  • 6. Links ● Chunk encode/decode with typed arrays: https://github.com/HowProgrammingWorks/ChatGPT/tree/main/JavaScript/1-Chunk ● Promise chain and async code optimization: https://github.com/HowProgrammingWorks/ChatGPT/tree/main/JavaScript/2-Promise ● Crypto random prefetcher: https://github.com/HowProgrammingWorks/ChatGPT/tree/main/JavaScript/3-Prefetcher