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Did Google drop DSA interviews? Here’s what actually changed

Google is testing AI-assisted engineering interviews, but that does not mean DSA is gone; here is what the reporting supports and how to prepare.

Anish Lawrence3 min read

“Google stopped asking DSA” is a much bigger claim than “Google is testing a different interview format.” If you are preparing for interviews, that difference matters more than the headline.

There is a real change behind the discussion, but it does not justify abandoning your preparation.

What actually changed

Google confirmed a limited interview pilot. That is not an announcement that DSA has disappeared across the company.

On May 7, 2026, Business Insider reported a pilot for selected US teams hiring junior and mid-level engineers.

It described Gemini-assisted code comprehension: reading, debugging, and improving existing code while demonstrating how you validate AI output. Other planned experiments included project-design discussions and an open-ended engineering challenge replacing one technical round for some junior candidates.

The reported scope matters. A pilot for selected teams does not establish the interview process for every role, level, or country.

What remains unproven

The available evidence does not establish a company-wide end to DSA interviews or universal permission to use AI.

A September 2026 candidate account describes Google India interviews with DSA screening and onsite rounds. That is a self-reported experience, not an official hiring policy. Still, it is a reason to question claims that every candidate now faces an entirely different process.

Be equally careful with posts claiming an exact new round count or identical assessment criteria everywhere. A detailed description can sound authoritative without being verified.

When evaluating a claim, ask three questions: Who confirmed it? Which candidates does it cover? Does the source describe a proposed experiment or a process already applied to everyone?

Format versus fundamentals

Debugging existing code can still test data structures, complexity, and problem-solving. A different format does not erase those skills.

Imagine reviewing a TypeScript function that checks every incoming record against every existing record. An AI assistant suggests rewriting the loops with cleaner syntax.

The code looks better, but the repeated scanning remains. You still need to recognize when indexing records in a Map could reduce unnecessary work, and whether duplicate keys change the behavior.

That is algorithmic reasoning inside a practical task.

This is an illustration of what code-comprehension interviews can test, not a claim about Google’s exact scoring rubric. My interpretation is that practical assessments can expose whether you understand a solution beyond recognizing a familiar problem.

Broaden your preparation

Keep practicing DSA, and add unfamiliar code, debugging, testing, and explanations of your own engineering decisions.

You do not need to turn every study session into another race through memorized solutions. Practice explaining why an approach works, where it fails, and what changes when the input grows.

For frontend developers, try a second exercise: open a small React or TypeScript project you did not write. Trace a user action through the code, reproduce a bug, and write a focused regression test.

Then use an AI assistant during practice. Review its proposed fix, challenge its assumptions, and check whether the tests actually demonstrate correctness.

Treat this as my preparation advice, not an official Google study plan. Use AI in an actual interview only when that round explicitly permits it.

Prepare for your interview

Your recruiter’s instructions should guide your preparation. A viral summary cannot tell you which interview process applies to you.

Ask which rounds are scheduled, what each evaluates, and which tools are allowed. Clarify whether you will write code from scratch, inspect an existing project, discuss design, or complete a combination.

My take: the useful conversation is about assessing more of an engineer’s work. Reading code, finding mistakes, testing changes, and explaining trade-offs deserve attention alongside solving algorithm problems.

But “Google is experimenting with practical interviews” and “DSA is dead” are different claims. The evidence supports the first. It does not establish the second.

Thanks for reading. #GoogleInterviews #DSA #SoftwareEngineering #InterviewPreparation

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