AI IMPACT · SOFTWARE DEVELOPMENT
It replaces part of writing code, not the job: understanding a need, designing a system and owning what ships to production stay human.
It is the field where AI is used most today, so it is the one where you need to get into it earliest.
Updated 16 October 2026
Across 10 common tasks of software developers: 4 stay with you, 3 are done with AI, 3 can be handed to it.
Ranking made by aviza for software developers, from the studies listed at the bottom of the page. It says what AI can do today, not what your role will become.
You build software: which of these tasks are really yours?
Your kit ranks the tasks of your own role, in your company, from your resume and what you tell us.
YOUR FIRST TRY, THIS WEEK
TO HIGHLIGHT IN AN INTERVIEW
Explain how you check code produced by an AI: tests, review, security. A recruiter wants to know whether you keep hold of quality.
Get started with GitHub Copilot, Microsoft Learn
The official module to code with an AI assistant and learn to review what it proposes.
Guided exercises in real repositories, including several on GitHub Copilot.
We have no partnership with these organizations.
Across millions of conversations with an AI analysed by Anthropic, more than a third were about computing and maths tasks. It is by far the top group of jobs where AI already helps.
Anthropic, Which Economic Tasks are Performed with AI?, 2025
For specialists surveyed by Stanford, AI could already do most pure programming on its own. Not IT project management, where a human remains essential.
In France, in the jobs most exposed to AI, permanent hires of people aged 21 to 29 have fallen by 28% since late 2022.
Knowing what the software is for, for the company and for the people who use it.
Choosing an architecture that is simple, safe and lasting.
Owning what ships to production.
They change. Tasks often given early in a career, like tests or small fixes, are the ones AI does best. So you need to show earlier what else you can do: understand a need, review AI-produced code, own it.
Yes. You cannot check code you do not understand, or design a system you could not write yourself. AI speeds up people who already know; it does not replace learning.
With a concrete case: the code the assistant proposed, what you fixed, the tests you added and why. That shows both your mastery of the tool and your standards.
YOUR KIT, WRITTEN FOR YOUR ROLE
People who hire will not read your whole repository. Your kit starts from your real projects, your stack and your technical choices, and turns them into sentences that make people want more: what you built, for whom, with what effect. It also prepares you for the question that now lands in every interview: how you work with AI.
Your projects described by their effect: load time, fewer incidents, users served.
Your stack, your domain and your level, with the keywords tech recruiters really filter on.
Three minutes to move from a list of technologies to the problem you know how to solve.
Likely technical and behavioural questions, including how you review code written by an AI.
The tasks in your role that AI speeds up, those that stay yours, and your 90-day plan.
You upload your resume and answer about 8 questions, speaking or typing.
