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What It Looks Like to Build Production Features With AI

Published on2 min read
AISoftware EngineeringProductivityDevelopment

What It Looks Like to Build Production Features With AI

A lot of discussion around AI focuses on what we can build using it.

But what’s more interesting is:

What does it actually look like to build software with AI?

After using AI heavily in day-to-day development, one thing is clear:

AI doesn’t replace engineering.
It reshapes the workflow.


1. You Start With Intent, Not Code

Earlier, building a feature meant breaking it down into:

  • functions
  • APIs
  • components

Now, it often starts with something like:

“Build an API that handles X, validates Y, and integrates with Z”

AI gives you a starting point instantly.

But that’s all it is — a starting point.


2. Generated Code Is Rarely Production-Ready

AI gets you:

  • structure
  • boilerplate
  • initial logic

But you still need to:

  • handle edge cases
  • add proper error handling
  • optimize performance

The gap between:

“it works” → “it works in production”

is still very real.


3. Review Becomes the Core Skill

Instead of writing everything from scratch, you spend more time:

  • reviewing generated code
  • identifying issues
  • improving design decisions

You’re no longer just writing code.

You’re:

shaping and validating it.


4. Iteration Speed Changes Everything

What used to take hours:

  • trying different approaches
  • rewriting logic

Now takes minutes.

This leads to:

  • faster experimentation
  • better solutions
  • more iterations

The constraint is no longer time.

It’s judgment.


5. Context Matters More Than Ever

AI is only as good as:

  • the prompt
  • the context you provide

So you start thinking about:

  • what to include
  • what to exclude
  • how to guide it

This becomes a key part of development.


6. Engineering Still Owns the Hard Parts

AI helps with:

  • speed
  • boilerplate
  • initial implementation

But engineers still handle:

  • system design
  • scalability
  • reliability
  • production issues

Those haven’t gone anywhere.


Final Thoughts

Building features with AI feels faster.

But not necessarily simpler.

You still need:

  • strong fundamentals
  • system thinking
  • good judgment

AI changes how we build. Not what makes software good.

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