Don't use IA only to code faster

Most .NET developers use AI to write code faster. The ones moving ahead use it to design better.

In my experience, writing the actual C# logic is rarely the bottleneck. The real delays on a project happen in the "gaps" between coding.

Here is where the time actually goes:

The Setup (The "File > New" Tax)

• Spending 2 hours configuring a new Microservice or Web API.
• Setting up Dependency Injection.
• Adding Middleware and Logging.
• Configuring Docker and CI/CD pipelines.

The AI Fix: Use custom "System Prompts" to generate a full .NET 9 skeleton that follows your team's specific standards in seconds.

The Wait (The PR Black Hole)

Sending a Pull Request and waiting 3 days for a reviewer to catch a simple syntax error or a naming convention mistake.

The AI Fix: Run an LLM-based "Pre-Review" on your own branch. It can catch the "obvious" mistakes before a human even sees them. This keeps your Senior Devs focused on logic, not typos.

The Missing Docs (The "Legacy" Trap)

Shipping a feature with zero documentation. The next developer (or you, 6 months from now) spends a day just trying to understand the data flow.

The AI Fix: Feed your final classes into an AI to generate a Markdown README or a Mermaid.js sequence diagram. It’s a 30-second task that saves hours of future debugging.

The Hard Truth:
If you only use GitHub Copilot to autocomplete a foreach loop, you are only fixing 20% of the problem.

The real "Senior" move is using AI to automate the friction, so you can spend your energy on Architecture.

Where does your dev day feel the most wasteful? For me, it’s always the repetitive setup of new services.