Background
I recently published my first open-source project called BatchCodePro. I don’t have a formal IT or CS background, and this project was built using an AI-assisted workflow.
Instead of relying fully on AI output, my focus was on understanding, refactoring, and cleaning up the generated code.
What the project does
BatchCode is a lightweight batch code processing tool designed to automate repetitive code-related tasks.
The main goal is to keep the structure simple, readable, and easy to extend.
What I learned
- AI can generate code fast, but refactoring is still a human responsibility
- Clean structure matters more than feature count
- Publishing early helps get real feedback
Open source
The project is available on GitHub: live pages 👉 [https://dausamir92.…
Background
I recently published my first open-source project called BatchCodePro. I don’t have a formal IT or CS background, and this project was built using an AI-assisted workflow.
Instead of relying fully on AI output, my focus was on understanding, refactoring, and cleaning up the generated code.
What the project does
BatchCode is a lightweight batch code processing tool designed to automate repetitive code-related tasks.
The main goal is to keep the structure simple, readable, and easy to extend.
What I learned
- AI can generate code fast, but refactoring is still a human responsibility
- Clean structure matters more than feature count
- Publishing early helps get real feedback
Open source
The project is available on GitHub: live pages 👉 https://dausamir92.github.io/BatchCodePro/ github repo 👉 https://github.com/dausamir92/BatchCodePro
Feedback, suggestions, and refactoring ideas are very welcome.