r/RishabhSoftware

AI tools are incredibly useful, no doubt about that. But I have noticed something interesting lately. The more developers rely on AI for debugging, code generation, explanations and problem solving, the harder it feels to work without it for long periods.

Not in a dramatic way, but almost like a habit forming loop. You hit a problem and the first instinct becomes asking AI instead of thinking through it deeply yourself. Feels similar to how autocomplete changed writing, just at a much bigger scale.

Whats your thought on it?

AI tools can generate code incredibly fast now. But I have noticed a lot of the work shifts into reviewing, correcting, re-prompting, validating edge cases, and making sure the output actually fits the system.

Sometimes it feels less like 'AI writes the code' and more like 'developers manage and refine AI-generated drafts.' The speed is real, but so is the oversight.

I have noticed experienced developers often get much better results from vibe coding than people who are newer to the system. Not because the AI is better, but because they already understand the architecture, business rules, edge cases and where things can quietly go wrong.

That context changes how they guide the AI, review outputs, and spot bad assumptions early. Feels like vibe coding becomes far more useful when you already have deep understanding, not less.

One thing I have been noticing lately is that developers ask teammates fewer questions now because AI is always available.

• Need help debugging? Ask AI...
• Need a quick explanation? Ask AI....
• Need a starting point? Ask AI.......

It definitely improves speed and reduces interruptions, but I wonder if it also changes how knowledge gets shared across teams. Sometimes the best insights came from conversations with people who understood the system, the business context, or past decisions. Feels like AI is changing not just how we code, but how we collaborate and learn from each other.

AI tools make it very easy to generate working code quickly. And most of the time, the output is good enough to move forward. But I’ve been wondering if that changes our standards over time. Instead of refining solutions deeply, it becomes tempting to accept code that works and revisit it later.

Sometimes that’s practical. Sometimes it slowly builds complexity that nobody fully understands. Feels like AI is changing not just speed, but also our tolerance for “good enough” engineering.

One thing I didn’t expect with AI coding tools is how much they affect collaboration. Some developers move much faster with them. Others are more skeptical and review everything carefully. In some teams, that creates a weird gap in how code gets written, reviewed, and trusted.

It also changes things like onboarding, mentoring, and even how junior devs ask for help. Feels like AI is influencing team dynamics as much as the code itself.