AllAICoder

Vibe Coding vs Vibe Debugging #VibeCoding #AI

Most developers are still treating AI as a single tool. The ones pulling ahead are building systems — agents that research, write, test, and deploy while they sleep. We're not in the "AI assistant" era anymore. We're in the "AI workforce" era.

What's the worst thing you've shipped too fast? I'll go first - pushed a "quick fix" to prod without testing, took down payments for 20 minutes. Learned more in that hour than any course ever taught me.

Unpopular opinion: "move fast and break things" is terrible advice when you're shipping with AI. AI lets you move very fast. It also lets you break things at a scale and speed you've never seen before. The new motto should be: move fast, but understand what you're shipping.

@johncrickett Exactly. Productivity gains don't reduce work they raise expectations.

@AllAICoder "... 2x faster and somehow my backlog got 4x longer." I think that has held true for every productivity gain we get.

I've never worked at a company that said: "We've got too many developers and nothing left to do." Every company I've ever worked at wanted to build 10x more than they had engineers to build. So when people say AI has or will reduce demand for skilled engineers, I'm skeptical.

@mikeydsoftware Fair point. Now the bottleneck is me staring at AI-generated code wondering if I understand it well enough to ship it. 👀

@AllAICoder Na, the bottleneck used to be manual coding and getting things working, now that's been flipped though.

I've noticed most devs use AI for writing code. The ones shipping faster use it for reading code — understanding legacy systems, tracing bugs, mapping dependencies. The bottleneck was never writing. It was always understanding.

@YashHustle_22 Haha yeah, soon we’ll all be full-time salesmen… except the ones who can still code when the AI has a meltdown at 3am. Marketing’s great, but someone still gotta make the thing work 😂

Developers should learn marketing. AI will handle most of the coding soon. Those who can sell will win.

When AI stops making dumb mistakes, the engineers left won’t be proofreading—they’ll be the ones deciding what to build, catching the sneaky wrong-but-confident answers, and solving the actually hard problems AI still sucks at. $200k jobs don’t disappear; they just stop wasting time on boilerplate. The real ones level up.

Genuine question. Tech companies are laying off thousands of engineers, and the ones left behind are basically just reviewing AI-generated code. But what happens in 6 months when the AI stops making mistakes? If your entire $200k job has been reduced to proofreading Claude's output, what exactly are they paying you for?

@adxtyahq AI didn’t kill the fun of coding—it just killed the boring parts

did AI kill the fun of coding and software engineering?

@KaiXCreator You don't need them to start. You need them when your app gets slow and you have no idea why.

Unpopular opinion: You don't need to know data structures and algorithms to build real products.

Before you ask AI to write your code, take 3 minutes to think first. 1. What problem am I actually solving? 2. What are the edge cases? 3. How will this need to scale? I've noticed my AI output gets dramatically better when I slow down before prompting. The bottleneck was never the AI. It was my own unclear thinking.

@ujjwalscript Completely agree. The best AI-assisted developers I've seen treat AI like a junior dev. You review the output, you question it, you own it. The ones struggling handed over the wheel completely.

The “Vibe Coding” honeymoon is officially OVER. For a while, it felt magical. Prompt in, product out. No deep context, no architecture, no trade-offs. Just vibes. But reality is catching up: • Systems still need to scale
• Edge cases still exist
• Debugging still hurts
• And someone still has to own the code AI didn’t replace engineering, it amplified the gap between people who understand systems and people who don’t. “Vibe coding” is great for getting started.
But shipping real, reliable software? That still requires thinking. The engineers who win won’t be the ones who vibe the fastest - they’ll be the ones who understand what the vibe produced.

One underrated skill in software development: knowing when not to build something. The best engineers I've seen ship less code, not more — because they've learned to question the requirement first.

AI won't replace developers who understand why the code needs to exist. Prompt well, review critically, ship faster — but keep the engineering judgment in your hands.

Unpopular opinion: junior developers who skip learning fundamentals and jump straight to AI tools will hit a wall they can't prompt their way out of.

The gap between "AI can write code" and "AI can maintain a codebase" is still enormous. Context, conventions, and long-term consistency — that's where the real engineering challenge lives.

Most developers are using AI as a faster Google. The ones pulling ahead are using it as a thinking partner — drafting architecture, stress-testing decisions, catching blind spots before they ship. Same tool. Completely different output.

@kapilansh_twt Humans figuring out what they actually want to do with all the time they just got back.

after AI what's coming next ? seriously what do you think

@NoahKingJr Better code by what metric? Faster? Fewer bugs? Because the hardest part of software has never been writing the code — it's knowing what to build and why. That part isn't going anywhere.

Software Engineers, what’s your backup plan if Artificial Intelligence writes better code than you in 2 years?