AI-Augmented Development Is Not a Shortcut

The narrative around AI coding tools tends to split into two camps: either it's going to replace software engineers entirely, or it's a fancy autocomplete that produces unreliable garbage.

Both miss the point.

What It Actually Does

AI coding assistance changes the economics of certain tasks. Things that were previously tedious but necessary — scaffolding boilerplate, writing repetitive test cases, translating between formats — can now be done faster. That's real.

What it doesn't change: the need to understand what you're building, why, and whether the output is correct.

The Discipline Tax

Using AI tools well is more demanding than it sounds. You need to:

• Know enough to evaluate the output, not just accept it
• Decompose problems into units the tool can handle without losing context
• Recognise when the tool is confidently wrong — which happens more than demos suggest
• Maintain responsibility for the architecture, even when you didn't write every line

The engineers who get the most out of these tools are the ones who already had strong fundamentals. The tools amplify capability; they don't substitute for it.

My Actual Workflow

I use AI assistance for:

• First drafts of infrastructure code — Terraform, CI/CD configuration, Dockerfile variants. Fast to generate, fast to review.
• Test case generation — Given a well-specified function signature, generating a broad set of test cases is something these tools do well.
• Documentation passes — Turning working code into readable explanation.
• Exploration — Quickly sketching an approach to understand its shape before committing to it.

I don't use it for:

• Core domain logic where subtle correctness matters
• Security-sensitive code without thorough review
• Anything where I can't explain why the output is right

The Throughput Question

Yes, I ship faster. But the more important metric is: I explore more. Ideas that would have been "too expensive to prototype" now get a rough implementation in an hour. That changes which solutions I consider.

The leverage isn't in doing the same work faster. It's in changing which work is worth doing.

Conclusion

Treat it like a very fast junior colleague who is occasionally confidently wrong and has no context about your business domain. You wouldn't merge that colleague's PR without reading it. Don't merge AI output without reading it either.