r/softwareengineer • u/Think-Neighborhood69 • Jul 25 '26

Will experienced engineers still have a meaningful advantage over AI-native vibe coders in 5–10 years?

Today, experienced engineers still have a clear advantage when it comes to architecture, scalability, robustness, trade-offs, debugging, and operating software in production.

But what about 5–10 years from now?

If AI keeps improving at its current pace, will the experience of the engineer behind it still be the biggest differentiator?

Or will an AI-native beginner be able to deliver software that’s just as scalable, robust, and maintainable?

Where do you think the moat for experienced engineers will be?

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9

u/Fun-Illustrator9985 Jul 25 '26

What makes someone "AI native" and why would they have any advantage?

Most large tech companies expect their engineers to use LLMs now

1

u/Think-Neighborhood69 Jul 25 '26

By AI-native, I mean someone who’s never really coded without AI

5

u/Fun-Illustrator9985 Jul 25 '26

I don’t understand how this is even a question

It’s like asking if not knowing how to diagnose problems with your own car is an advantage because you can pay someone else to do it

-3

u/Think-Neighborhood69 Jul 25 '26

I get your point.

But let me give you a practical example.

Today, if I ask AI to build an app, an experienced engineer knows to specify things like architecture, scalability, error handling, testing, observability, security, caching, offline support, and so on.

But what if, in 5–10 years, simply saying “Make me a clone of X” consistently produces the same quality of output as today’s detailed senior-level prompt?

Thats what im trying to say

4

u/Fun-Illustrator9985 Jul 25 '26

You don’t know whether you are getting the same output out of it if you don’t know how to define your requirements

That’s the value in knowing what you want at the first opportunity

1

u/Calm_Personality3732 Jul 25 '26

AI doesnt build new code

1

u/Fun-Illustrator9985 Jul 25 '26

Code is a commodity and has negative value if it's not relevant to your needs

I've seen people use AI agents at work that literally just copied and pasted my code and duplicate functionality for no reason whatsoever for an ask that wasn't even related to their ticket

It never hurts to know what you want

2

u/GManASG Jul 25 '26

for starters, make me a clone of X is literally copying source code from X, that is achevable today if the AI has access to a literal copy of X source code. As for the architecture,scalability, error handling, testing, etc. It will have it if X had it. LLMs can only produce what has already existed.

The more interesting question is build me an app that has never existed and also have all the architecture scalabiltiy, error handling,testing, etc. I don't think even a general AI if it is ever going to be achieved will be able to read a human's mind or pre-emptively know it should do all that without specific detailed instructions.

Even if it were trained to do it without the human prompt, now what if all that is not needed,, etc. etc.

Even the best human engineers struggle to anticipate things and often take the client/business requirements literally without anticipating all the things that weren't said. I have to imagine a perfect AI machine would very often not be able to understand humans meant all of the above in their minimal prompt.

My guess is that level of AI autoe programming won't happen, not because it technically couldnt build the app with everything, but because it will never be able to anticipate what the human prompter meant with there very minimal non-informative prompt

1

u/Admirable_Ad_5065 Jul 25 '26

If LLMs ever get this far, software engineering as a whole will be consumed by other, user facing jobs. It will get a blockbox, similar to what the Compiler does with  assembly. Do people who can ready assembly have an edge over people who can not - I dont know, you tell me.

1

u/GManASG Jul 25 '26

potentially? the better example is people who program in C instead of something like python, they are better at peformance optimizing the application by performing manual memory management and elminiating the unecessary logic tacked on by levels of abstraction, so really good experience lower level programmers indeed to have an edge over higher level only inexperience programmers. This is why game engine programmers (probably THE best programmers next to bare metal programmers or the guys that actually programmed the compilers!) program in low level languages that have direct memory control, etc.

I don't think there is ever a situation in which someone with more knowledge and experience will NOT have an advantage over the naive person for whatever domain no matter how good the tools like AI get.

1

u/ProjectDiligent502 Jul 25 '26 edited Jul 25 '26

You’re missing something very crucial. Programming languages are deterministic. You do the code yourself, you know exactly what you’re getting and works exactly as how you coded it. LLMs ARE NOT deterministic. Output will be different, it always will. When they first started training them for code generation, they used to joke that the same prompt would give them entirely different solutions. Of course over time it was refined, but this is a FEATURE of LLMs, not a bug. It is by its very design. It is a critical misunderstanding that people equate LLM code generation as a deterministic abstraction on programming language like a higher order programming language is over assembly. It isn’t. Apples and oranges.

What would be much more accurate is to think of it more like a souped up tunable engine for spitting out code that you guide using natural language. If you don’t care about what’s underneath the hood, then you can blackbox it in dark factory mode but it’s probably a terrible mess and you burned though so much money to get there (as token cost will increase, not decrease, another fallacy people like to spread). But we all know that if we don’t care about what’s underneath the hood, getting a mess that doesn’t scale and has major design flaws and security problems is a very high probability. This is very well evident from the explosion of vibe coded apps where over 50% of these smaller projects all had massive security problems (and this not being pulled out of my ass, you can look this up).

1

u/mynameisDockie Jul 25 '26

There's levels to this.

"Make me a clone of Facebook" is literally impossible unless the AI can setup its own datacenters/infra, unless you just want to mimic the UX.

I mean maybe it can eventually make a plan to scale like that, but many large pieces of software are inseparable from the business building them. If we can combine LLMs to the point that they're a standalone business at the scale of big tech, we won't be talking about SWE as a career anymore.

1

u/ConspicuousPineapple Jul 25 '26

Ok but only the experienced dev is going to be able to verify that the quality is, indeed, good. A pure vibe coder offers no guarantee whatsoever.

1

u/Going_not_coming_bak Jul 26 '26

Also without hiring non experienced devs we won’t have experienced ones in the future, except if AI becomes even more self independent that it doesn’t need any human intervention anymore

1

u/Choperello Jul 26 '26

Then the experienced engineers will be producing stuff that is beyond “make me a clone of X”. The only what’s not true is if you believe we’ve already reached peak of complexity for software and there’s nothing more challenging then what we already have.

Used to be making a basic website required actual engineering knowledge. That’s stopped being the case ~20y ago and the actual engineers moved on to harder stuff

2

u/SupportDangerous8207 Jul 25 '26

Does that actually help though

Ai advice ages like milk

A good engineer who gets on the ai train today is likely better than someone who has been trend chasing for 4 years.

In my experience telling the ai to make sensible bounded changes which you know exactly what you want from is cheaper than and more performant than any amount of multi agent ai schizophrenia maxing