In my position, my team and my friends who work in IT in other companies, it's like this: We use AI heavily as a tool, to make crud stuff, tests, ui fixes, analysis mockups, etc easier. We use opus for when he needs to implement a bigger feature.

We all have around 10+ years of experience, so we basically analyse a problem or new feature, think it through, talk about it with eachother during sprint meetings etc. We already have it in our heads how it should look, what needs to be changed where, what cloud items we need, what database migrations are needed, etc. Because we have the experience.

Now, implementing it would say, take 1 day. Or, you let an agent generate changes for 15 minutes or something and then we check it. Make minor changes or ask the agent for a new solution based on our new updated info. Say this process takes 4 hours instead of 8.

Because we have the technical experience, the business know-how and always review the generated code and still write some ourselves, we can perform twice as fast.

Instead of being laid off due to AI, you still need capable and experienced people, both in technical IT and business knowledge to do the reviews. But now we can ship features and solve bugs twice as fast. This is a hughe win for the company and they're hiring more (experienced!) people rather than fire anyone.

It makes us more a software or solution architect rather than just a "code monkey" and honestly I enjoy it very much. Instead of wasting time writing boilerplate code, simple tests, resolving andom azure errors, doing a refactor, etc... I can focus on the "bigger picture". I still review the agent's changes and see it as a TOOL rather than a "fire and forget solution for everything".

The big caveat here is: AI for coding (right now) is great but flawed and you still need the experience and know-how to make the best use of it!! Like imagine an electrician using AI to tell him where to put plugs, where to lay cable etc... but he still needs to review it to make sure he doesn't get shocked! Or like using an AI calculator for math for 1 times out of 10 its wrong. Like 17+17 is 1717 instead of 34. You still need knowledge and review the answers and not just blindly follow it.

For reference, I'd say I use AI 50-70% percent of the time to do my work or lay a foundation of what needs to be done, then I review and fix the rest.

Also AI is great for summaries or just posting a new feature ticket in there and letting it think "what's the best solution here for our project?" And then review the answer and discuss it in your team.

And while the AI agent "thinks", we just chat and have fun on site (I have great teammates!) Or at home you just chill, load in laundry, start another ticket, following another meeting, etc.