The Hidden Cost of Letting AI Write Your Code
Everyone's shipping code faster now. AI writes it, a developer glances at it, it goes to QA (hopefully), then off to production. While this does sound efficient, it also sounds like a plan for problems you won't see coming until they're already live.
This is going to become the norm as companies lean into AI-generated code that without people that fully understand it driving the initiative.
Security Is Only As Good As The Prompt
AI code generation tools are only as security-conscious as the person driving them. If you don't know what SQL injection is, you're not going to ask Claude to guard against it. If you don't know what a race condition looks like, you're not going to catch one in the output.
The AI isn't the problem, the gap in the prompt is the problem.
A developer who understands security asks specific questions: "sanitize this input," "use parameterized queries," "check for auth on this endpoint." A developer who doesn't know to ask just gets working code. Working code isn't the same as safe code. It just means it didn't crash on the happy path.
You Really Need to Know Why
Here's a pattern that's becoming common: someone asks AI to write a feature, the code works, they ship it. Nobody asked the AI to explain what it did or why it did it that way.
Then something breaks in production. Now you've got a team staring at code nobody on the team actually understands. The code isn't bad so much as nobody knows the reasoning behind it.
This is a fixable habit. Ask for the explanation along with the code. "Walk me through why you structured it this way" takes ten extra seconds and saves you hours during an incident. Skip that step often enough, and you end up maintaining a codebase your own team can't explain.
If you're using Claude, use the Plan mode with reckless abandon. Sure it'll eat more tokens, but the overview of what it's going to do and why is extremely useful. I equate it to explaining what you need done to another developer and having them explain it back to make sure they understand the task. If you're not fully understanding what it's doing or it's helping you with a technology that is new to you take it a step further. Use the output from the planning session and ask for the 20% of the details that can help you understand 80% of the topic based off the plan and paste it in.
Use 'Em or Lose 'Em
Developers who lean on AI for everything stop practicing the fundamentals. Not out of laziness, but they lose the muscle memory.
Debugging is the clearest example. If AI writes the code and AI fixes the bugs, a developer never builds the instinct for spotting what's wrong just by reading. That instinct doesn't come from watching AI do it. It comes from doing it yourself, badly, a few hundred times.
Same goes for architecture decisions, for understanding tradeoffs, for knowing why one approach scales and another doesn't. Skip the reps, and the skill doesn't develop. It's not really different from any other skill you stop practicing.
Junior Developers Won't Grow
Let's look further into the future for a minute... Junior developers learn by struggling through problems, getting it wrong, and figuring out why. That struggle is where the judgment comes from, the kind of judgment that eventually makes someone a senior developer.
If AI is doing the struggling for them, they're not building that judgment. They're producing output that looks like senior-level work (sometimes) without going through the process that actually makes someone senior.
Companies are going to feel this in a few years, not now. Right now it looks like productivity. Later it looks like a team full of people who can prompt well but can't reason through a novel problem when the AI doesn't have a clean answer for it.
Where This Leaves You
None of this means that you shouldn't use AI to write code. It means treat it like you'd treat any tool that's powerful enough to hurt you if you don't know what you're doing.
Ask for the reasoning, not just the output. Keep your security knowledge current enough to know what to ask for. Run security audits against your systems. Make sure your junior developers are still doing hard things the hard way, at least some of the time. The speed is real. So is the bill, if you're not paying attention to what you're trading for it.
