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You are already behind if you are still vet engineers like 2021. Whatever we believe, we are living through it that our lifetime will be the most transformative technical change, even bigger than the Internet.
The AI revolution is speeding up at a speed, most of us cannot fathom. This is not publicity. It is a renovation of what it means to build, make and work. Now the founder preparing will come forward. Those who will not be able to beat themselves by five-individual AI-Mool startups who work with 10x speed and accuracy.
So, how do you hire developers in this era of acceleration?
You do not screen them for how well they write the code. You screen them to see them how well they orkestrates it. Let me explain
AI flow is really new literacy
Each founder wants an “AI developer”. But that word can mean many things. Are you looking to make someone to make a big language model (LLMS) in Python? Or is anyone skilled in taking advantage of AI tool to promote a velocity and reduce the bug?
Most companies need others. But they do not always know how to ask for it. This is why AI flow, or a developer can navigate how well and take advantage of a wide range of AI tools, becoming important as knowing a specific language or outline.
The tooling will continue to change. But to use new AI assistants to use the learning meta-skills, evaluate their output, and include it in your workflow? This is a sustainable benefit.
What is an A-Aurkestrator, and why do you need one?
An AI orchestrator is the essential developer arcipe of today. They do not manually write every row of the code-they signal, criticism, debug and refuctor AI-Janit output. They understand when to hand over the machines and when to implement their decision. And they know how to communicate with colleagues like AI agents.
At the same time, while AI is sharp, it is not always right. And it certainly does not know the specific needs of your company. So the symptoms you want to prefer to hire are:
- architecture – Zoom out and design system capacity at high levels.
- critical thinking -The evaluation of trade-off, make good decisions and choose the right tool for jobs.
- Communications – It is a big one. How well can you explain your thinking to a robot? AI does not do hyuristics. If you want you cannot clear what you want, you will not get it.
As we did not stop teaching mathematics because the calculators are present, we cannot leave the founder programming skills only because we write the code. We need developers who understand architecture, know when to trust AI and know when to step inside and fix what is broken.
4 ways to assess the AI qualification of an engineer
In response to the spread of AI tools, my company has noticed how we see technical talent. The traditional process of technical interviews, algorithm challenges and language-specific coding tests is not yet cut.
What to do instead:
- Follow the problem of real world. Ask the candidates to create a feature or debug an issue, but do not allow them to write any code yourself. Instead, they need to use devices such as chat or cloud, sharing their screen the whole time so that you can see how they interact with AI.
- Assess the signal. You are not just looking for the correct answer. You want to see how the candidates frame the problem, indicate AI and refine and repeat on its output. This exercise is more about determining the idea of a candidate on Syntax North and the clarity of communication.
- Verify authenticity. Yes, people will try to cheat by sharing the screen with someone else, someone will have to replicate them or resort to deepfack. So you want to emphasize full-screen sharing and start their camera. Tell the developers that you are not trying to pull a “gotcha” on them; You want to understand how they work with AI day to day.
- Test decision. It is easy to get the work code from AI. Hard skills are knowing whether this is a good code, the system fits architecture, and the right solution for the problem. During all these stages, you would like to see if they can clean the strip of significant thinking on simple copy-pasting.
What should happen between AI adoption
My team believed that senior developers would get out more than AI. But what we found surprised us. In a series of surveys, junior developers reported high productivity benefits from AI, but often lacks the decision to catch flawed production. Senior developers, on the contrary, were, doubtful or alert, which reduced short -term benefits.
Therefore, we created training for each experience level. For juniors, it is about slowing them, it helps them to see that AI is steering them incorrectly. For superiors, it is about educating them on integrating AI without losing control of them. In both cases, target is to unlock real productivity without compromising.
Accept that change makes opportunities
Yes, this infection is scary for AI. And yes, there will be unrest. There will be jobs that fade and grow new. But those who learn teams around AI-competent talent to screen, train and build, they will write the future.
If you are still hiring engineers what they can do alone, you are missing this point. Based on how well they work with machines, start hiring them,
The future is not of AI vs humans. This is ai with Humans, and those who adapt the fastest, will win.
Jacqueline is the founder and CEO of Sameera Howdy.comWhich creates and manages elite software engineering teams in Latin America.
