Coding Interviews Are Changing: How to Get a Developer Job in the AI Era

AI can now pass the small coding tests most interviews are built on. Here is what that means for the job market, what companies want from you now, and what I would do if I were looking for a job today.

For years the coding interview worked like this: here is a small problem, write the solution in 45 minutes, and we will guess from that how you would do on the job. It was never a great predictor, but it told interviewers something.

That signal is going away. AI tools now solve those small problems faster and more cleanly than most candidates. A short React exercise or a classic algorithm question tells an interviewer very little when the candidate will spend the actual job working next to an assistant that can write that code in seconds. Some AI-first teams have already stopped running a coding round for exactly this reason.

So if you are a student or a junior developer, the fair question is: if the interview is changing, what should you prepare for?

This is my short answer.

What is happening in the tech market

The big companies are not dropping coding rounds. They are adding AI rounds next to the old ones.

Meta started rolling out an AI-enabled coding interview in October 2025. You work in a multi-file codebase with an AI assistant, fixing a bug, building a feature and then optimizing it. One classic algorithm round without AI stays in the loop.

Google is reportedly piloting a “code comprehension” round in 2026 for junior and mid-level roles on some US teams. You get an existing codebase and Gemini, and interviewers watch how you prompt the AI, check its output and fix its mistakes. The traditional algorithm rounds reportedly remain.

My read is that most companies will run some kind of coding interview for years. Large companies get so many applications that a cheap, standard filter like DSA is hard for them to give up.

So there are two kinds of loops now. A few AI-first teams have dropped the coding round. Everyone else runs a mixed loop: one round without AI, one round with it, and more questions about what you have built.

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It is easy to read all this and decide that entry-level jobs are dead. I don’t think they are. What stops working is being invisible. Developers who show their work still get hired.

What companies expect from you

When writing code gets cheap, the things around the code become what you are hired for:

• Business sense. Engineers are hired to create business value, not to program things. Know what your company or team is trying to achieve.
• Working prototypes: something that runs, built around one good idea, that a manager can understand in minutes.
• Judgment about AI-written code. A big part of the job now is reading and reviewing what an agent wrote. A good test of this: take a working pull request and ask yourself what you would delete.
• The ability to explain trade-offs. Problem solving and design thinking still matter. What has lost value is remembering an algorithm by heart.
• Taste, meaning you know what good looks like, in small product decisions as much as in code.

What you should expect from companies

• Mixed loops for a while. Expect at least one round without AI at most large companies, as at Meta and Google today.
• New formats nobody has settled on. Take-homes, work trials and AI-allowed rounds are new, and companies are still figuring them out. Some of them will feel less predictable than the old interview did.
• Questions about your own work. Expect interviewers to open your GitHub or portfolio first and then ask you to walk them through something you built.
• Messy processes. Slow replies and recruiters who seem out of the loop happen at well-known companies too. That is normal, and it doesn’t mean you failed.

Before each loop, ask the recruiter two things: what each round looks like, and whether AI tools are allowed in it.

The best way to get a job now

If I were starting out today, this is what I would do:

1. Pick a real problem over a tutorial project. Find something a business or a group of users actually struggles with.
2. Pick one bold idea that would make a real difference to that problem if it worked.
3. Build it over a weekend. With AI tools, a working prototype takes days, not months.
4. Keep it to one idea. A prototype that tries to do five things hides the one good thing in it.
5. Use your fresh eyes. As a newcomer you notice friction that people who have used a product for years have stopped seeing.

Put a few of these small, finished projects where people can see them, and be ready to explain every decision in them. Keep your DSA basics sharp for the companies that still test them. Also practise fixing bugs in a codebase you didn’t write with an AI assistant open, since that is what the new Google and Meta rounds look like.

Do’s and don’ts

Do:

• Build small things that work, with one idea each.
• Show your work in public: GitHub, a portfolio, short write-ups of what you built.
• Learn to read, test and question AI-written code, not just generate it.
• Practise explaining your trade-offs out loud.
• Keep enough DSA to get through the classic round.
• Ask each company about its interview format and its AI policy.

Don’t:

• Don’t quit DSA prep because a few teams dropped it.
• Don’t pack everything into one prototype.
• Don’t list skills you can’t explain when asked.
• Don’t use AI to cheat in a round that bans it. The new formats exist partly to make that pointless.
• Don’t treat an “everything is dead” post as a plan.

What your mindset should be

Drive matters more than years of experience now. Execution used to be expensive, so you needed years of status before anyone would bet on your idea. Building is cheap now, so a working prototype can speak before your job title does.

Stay a little skeptical too. A handful of teams changing their interviews is not the whole industry changing, and some companies may try new formats and go back to the old ones.

So prepare for both kinds of interview. Keep the fundamentals the old loops test, and build the proof the new loops look for.

References

• Hello Interview, Meta’s AI-enabled coding interview
• Levelop, Google coding interviews in 2026: what changed and what didn’t, May 2026
• Don’t Call Yourself A Programmer, And Other Career Advice, 2011

Also on allahabadi.dev.