Two Months Using AI Coding Tools: What I Learned
Last Updated on August 28, 2025 by Editorial Team
Author(s): Janahan Sivananthamoorthy
Originally published on Towards AI.
Beyond the hype: Real productivity insights from IntelliJ AI Assistant and Junie
You know how I’ve been on this AI journey lately? First exploring how LLMs could integrate with Java applications, then diving deep into building Agentic AI with Java — I was genuinely excited about the possibilities. (I’ll share links to those articles at the end if you’re interested.)
The article discusses the author’s experience using AI coding tools like IntelliJ AI Assistant and Junie to improve productivity and streamline coding tasks. The author reflects on the initial skepticism and hype surrounding AI in coding, ultimately finding practical applications that enhance learning and project execution. Key insights include leveraging AI for specific coding assistance, managing context effectively, and integrating coding standards through guidelines—ultimately viewing these AI tools not as a replacement for coding knowledge but as valuable aids in the development process. The article emphasizes the importance of maintaining an active role in guiding AI-generated code while enjoying increased efficiency.
Read the full blog for free on Medium.
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Note: Article content contains the views of the contributing authors and not Towards AI.
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