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Stop Treating AI Coding Assistants Like Magic. Here’s the Context-Aware System That Actually Works.
Latest   Machine Learning

Stop Treating AI Coding Assistants Like Magic. Here’s the Context-Aware System That Actually Works.

Last Updated on October 9, 2025 by Editorial Team

Author(s): Mayank Bohra

Originally published on Towards AI.

Stop Treating AI Coding Assistants Like Magic. Here’s the Context-Aware System That Actually Works.

Everyone’s chasing the perfect AI prompt for instant productivity. But after 7 months building production frontends with Claude Code and Cursor, here’s what actually happened: I got slower before I got faster. The difference wasn’t better prompts — it was systematic context architecture.

Stop Treating AI Coding Assistants Like Magic. Here’s the Context-Aware System That Actually Works.

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This article discusses the author’s experiences with AI coding assistants, emphasizing that the challenges faced are often due to a lack of proper context rather than the quality of prompts. Through systematic context architecture, the author discovered a more effective approach to using AI tools, highlighting a structured method to improve collaboration between AI and developers, fostering better productivity and long-term maintainability of code.

Read the full blog for free on Medium.

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