Hey DEV Community! š
I'm Abhijeet Zingare, a 3rd-year B.Tech Computer Science student specializing in AI/ML from Nagpur. As I dive deeper into training data models this semester, I've been experimenting with cloud tools and AI helpers to optimize my workflow.
One quick tip I wanted to share with fellow engineering students is how to use LLMs like Google Gemini specifically for Smart-Debugging logical errors in Python, rather than just asking it to write raw code.
Instead of typing standard prompts, try this template next time your code throws a training exception:
"Act as a senior Machine Learning infrastructure engineer. Review this Python script. Do not rewrite the code completely; instead, identify the specific logical mismatch causing the dimension error in my dataset array."
Using this targeted prompt structure has saved me hours of manual tracking in my college labs!
I'm excited to connect with other developers here, jump into Hacktoberfest 2026, and share my journey as I build my placement portfolio projects.
What AI prompts or debugging tools are saving you time this month? Let's connect in the comments! š
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