The Reality Check for Enterprise AI

Author(s): Kapil Viren Ahuja

Originally published on Towards AI.

My Search for a Practical Way to Use Agentic Coding for Enterprises.

The hype was hard to ignore. Everyone was claiming that agentic coding could automatically produce everything we needed. YouTube was filled with demos, and buzzwords like “vibe coding” and “spec-based coding” changed quickly. I received details from everyone saying it was not only possible but easy. And then there was pressure to start projects using this approach. However, I know from experience that hype doesn’t always match reality, especially when it comes from those who need these tools to make a profit. So, instead of wasting a lot of money chasing a (maybe) fantasy, I chose a practical approach. I needed to see for myself what was real, what was just hype, and where the realistic, enterprise solutions actually were.

This article discusses the realities of agentic coding for enterprises, emphasizing that the promises often heard in the tech community can be misleading. The author shares insights from personal experience regarding the selection of machine learning models, reasoning capabilities of models, handling hallucinations, and the importance of verification in AI-driven code generation. Instead of relying on buzzwords like “vibe coding,” the focus should be on a structured and controlled approach to software development that leverages AI effectively while maintaining oversight and accountability.

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Published via Towards AI