How I Use AI To Code Faster (Without Losing Control of My Codebase)
Last Updated on October 28, 2025 by Editorial Team
Author(s): Anubhav
Originally published on Towards AI.
Practical guide to balancing speed and control when coding with LLMs
AI tools are everywhere now. Feels like you can’t scroll through a tech blog without someone talking about their new AI-powered workflow. Until earlier this year, I just saw them as fancy autocomplete. Handy, but not something that would fundamentally change how I build stuff day-to-day as an engineer. But, I was a bit wrong.
The article discusses how effectively using AI has become crucial for developers, emphasizing the importance of knowing how to interact with AI tools without losing control over the codebase. It outlines strategies for establishing rules for AI assistance, structuring tasks through clear prompts, generating to-do lists, and knowing when to take the lead in coding versus letting AI handle tasks. The author shares real-life examples and the gradual development of a research paper summarizer application, illustrating the balance necessary for productive AI collaboration while maintaining oversight and ensuring quality in code development.
Read the full blog for free on Medium.
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