my opinion on "vibe" coding, what I've learned, plus some useful tips! : r/ChatGPTCoding
Link to article: reddit.com/r/ChatGPTCoding/comments/1l9yhy8/just_launched_keytakes_my_opinion_on_vibe_coding
Key TakeAways
1
The author uses Gemini 2.5 Pro and GitHub Copilot for coding, favoring Gemini for large changes due to its context window and cost-effectiveness.
🤖5 Pro pretty much exclusively (for free in Gemini AI Studio).
I still use GitHub Copilot for manual coding, but for big multi-file changes, Gemini 2.
5 Pro in AI studio is the one for me.
3
Python scripts copy the project's file structure to the clipboard, ensuring the AI has a complete understanding of the project.
🌳2. Copy Full Documentation: For difficult integrations with 3rd party frameworks, I would copy the entire reference documentation and paste it directly into the prompt context (no biggie for Gemini 2. 5 Pro).
3. Copy Scripts: I made two small Python scripts (copyTree.py, copyFiles.py) to copy my project's file-tree and content to the clipboard.
5
"Vibe coding" emphasizes detailed prompts over extensive code, minimizing bugs and improving efficiency in most areas.
💡My Tips & Tricks:Vibe coding means you spend more time writing detailed prompts than actual code—describing every feature with clarity is the real time sink (but it pays off by minimizing bugs).
2
️ Voice prompts and copied documentation are used to provide detailed context to the AI, enhancing its understanding and accuracy.
🗣This way the AI always had complete understanding and context of my project.
My project is currently around 80.
4
Extensive console logging is implemented to facilitate debugging by providing detailed output to the AI for analysis.
📝5 Pro.
4. Log Everything: Add tons of console logs.
When bugs happen, copy the console/terminal output, drop it into Gemini, and debugging becomes a single prompt.
6
Backend tasks like networking and databases still require traditional coding knowledge, even with AI assistance.
🚧Stuff deeper in the backend (networking, devops, authentication, billing, databases) still requires you to have some conceptual understanding and knowledge.
1-Sentence Summary
The author shares their AI-assisted coding workflow, emphasizing the use of detailed prompts and tools like Gemini 2.5 Pro to streamline development, while acknowledging that certain backend tasks still require traditional coding knowledge.
Integrity Review
The article provides practical tips for using AI in coding and offers a balanced perspective on its capabilities and limitations.
🕒 Saved you 7 minutes of reading!