Stop vetting engineers like it’s 2021 — the AI-native workforce has arrived

You are still behind if you checked engineers like 2021. I believe that it is greater than the Internet, the most transformative technological turn of our lives will be.

This AI Revolution It accelerates in a pace, and most of us. This is not a hype. To set up, create and do what it works. Now the founders will take place next. Those who could not find themselves, were located by Ai-local beginnings that work with 10x speed and accuracy.

So how do you hire developers during this period?

You don’t screen them for how well the code writes. You screen them to see how many orchestra ethos. Let me explain to me.

AI fluency is actually new literacy

Each founder wants the “AI developer”. But this period can mean much. Looking for someone to build Great language models (Llms) on the python? Or one of the skill to use AI tools to increase speed and reduce mistakes?

Most companies need the second. But they don’t always know how to ask for it. Therefore, how much a developer or a developer is as important as a developer, how a wide range of AI tools can use or know a word or frame.

Tooling will continue to change. But how to learn how to use the new AI assistants, estimate their performances and enter the workflow? This is a continuous advantage.

What is the EU-orkestror and why do you need one?

One Ai orchestra Today is the necessary development archetype. They do not manually record every line of each code – the desire, criticism, debug and refact AI. They understand when to do when they will entrust cars and their decisions. They also know how to connect with AI agents such as coworkers.

At the same time, the EU is not always correct while the speed is fast. And, of course, do not know your company’s special needs. Therefore, the signs you want to prioritize in hiring are:

• Architecture – Ability to grow and design high levels.
• Critical Thinking – Appreciate trading-offs, make good decisions and choose the right tools for work.
• Communication – This is great. How often can you explain your mind to a robot? AI doesn’t heuristics. If you can’t express what you want, you will not get what you need.

As we have not stopped teaching the math, because we do not stop teaching the mathematics, we cannot give up basic programming skills because it is written by Code Code. We need the developers who understand the architecture, and know when to trust the EU and when it will step and break.

4 ways to evaluate the engine of the engine

In response to the spread of AI instruments, the technical talent of my company has overhauled a major overhaul. The traditional process of technical interviews, algorithm problems and special coding tests in the language are no longer interrupted.

What should be done instead:

• Simulate the solution to the real world problem. Ask the candidates to make a feature or a problem debugs, but do not allow any code to write themselves. Instead, require use tools like CHATGPT or Claude, share their screens all the time, so you can observe how they are Interact with AI.
  
• Estimate the use. Looking for the correct answer only. You want to see how the candidates provide the problem and show the AI quickly and the interval and the intervention in his speech. This exercise is more than determine the clarity of thinking and communication over a candidate’s syntax master.
  
• Check the originality. Yes, people will try to cheat on someone else by sharing their screens with someone else, to ask someone or deepening. Therefore, you will want to cause full screen sharing and cameras to be burned. Let me know that you do not try to pull “Gotcha” on the developers; You want to figure out how they work on a daily day.
  
• The test decision. Easy to get a job code from AI. The more difficult skills, this is to know if there is a good code, it is suitable for system architecture and the problem is the correct solution. Throughout all these steps, you would like to see that they can clean the critical thinking stick on a simple copy pad.

What should be mind as a result of AI adoption

My team assumed that great developers would go out more than AI. However, what we found was surprised. In a number of studies, Junior developers have gained high productivity than AI, but often did not decide to catch a defective exit. The head developers, on the contrary, were doubts or cautious to make short-term earnings.

So we have set up training for each level of experience. For teenagers, it is due to the slowdown, help them look where AI’s mistakes are. For the elderly, it is about teaching the AI without obedience. In both cases, the goal is to open real productivity without compromising quality.

This change creates an opportunity

Yes, this transition to AI is scaring. Yes, there will be turbulence. There will be consecutive and new ones to rise. The AI will write to the future around the effective talent and learners to train and build.

If you are still hiring engineers for their own, you lose the point. Start hiring on the basis of how much they work with cars.

Not AI against future people. This is ai with People and the fastest matches will win.

Jacqueline is the Basic Director of Samira’s founder and Howdy.comElite software operates and manages throughout Latin America.