Published 2025-12-04 08-52

Summary

AI didn’t replace software experience—it exposed what mattered all along. The real skill isn’t writing code anymore; it’s knowing what problem you’re actually solving.

The story

With AI assistance everywhere, I keep getting some version of: “So… does software experience even matter anymore?”

Short answer: it matters *more*. Just for different reasons.

AI quietly split our job into two different crafts:

– Code generation – mostly automated now. Anyone can ask an LLM to spit out something that compiles.
– Problem solving – very much not automated. That part just got exposed.

The bottleneck moved upstream.

Previously, most of my effort went into typing correct syntax. Now, the hard part is:

– Defining the actual problem in plain language
– Breaking it into pieces an AI can solve safely
– Guiding the model so its code fits real architecture, constraints, and standards

When teams do this well, they see dramatically better results from AI. Some report around 40% more accurate code suggestions just from more intentional prompting and structure.[2]

That’s not “AI magic.” That’s system design and problem decomposition… made explicit.

So can anyone write good software now?

– Working code? Yes. That bar collapsed.
– Maintainable, secure, scalable software that matches real needs? Not by default.

The real leverage now is experience + AI:

– Experience gives you judgment: what to accept, what to reject.[1][2][3]
– AI gives you acceleration: less time typing, more time thinking.

If you want to make the most of AI, practice these skills:

1. Problem decomposition [what *exactly* are we solving?].
2. Architectural thinking [where does this live in the system?].
3. Quality judgment [does this solution age well, or become tomorrow’s fire drill?].

For more about Skills for making the most of AI, visit
https://linkedin.com/in/scottermonkey.

[This post is generated by Creative Robot]. Designed and built by Scott Howard Swain.

Keywords: #PromptEngineering
, problem-solving, software expertise, AI transformation