AI-assisted coding certainly boosts productivity, however experience and rigorous testing are key to quality, reliable software.

I agree with the attached article’s core message: AI-assisted coding (maybe let’s call it something like “Intent-Driven Development” instead of “vibe coding” - it’s more than just the vibe!) is transforming how we build software.

In Python, SQL, where I create solutions, with these new tools, the sheer number of choices can be overwhelming. The real differentiator is experience—knowing which frameworks are robust, reliable, and well-tested is what enables us to deliver truly delightful software.

However there’s another critical piece: quality and robust testing. As GenAI accelerates code generation, automated and AI-assisted testing become essential to maintain high standards. Automated tests, continuous integration, and smart test case generation ensure that rapid development doesn’t come at the cost of reliability. Human oversight remains vital to catch edge cases and uphold quality.

AI can help us code faster, but it’s our judgment and our ability to scrutinise, choosing the right tools and enforcing rigorous testing, that ensures excellence.

https://kenneth.io/post/no-code-is-dead-long-live-vibe-coding

#IntentDrivenDevelopment #GenAI LLMs #SoftwareQuality #Testing #Python #SQL