DSA practice remains non‑negotiable

Coding interview advice in recent student-facing videos has converged on an older point: data structures and algorithms practice still decides who clears early software screens. That message has appeared across mock-interview and online-assessment content on YouTube in recent days, alongside internship guidance that continues to steer students toward coding preparation rather than AI-tool dependence. Google’s 2027 software engineering internship posts also direct applicants to Student Hub resources for interview preparation, reinforcing that screening remains structured and skills-tested. The result is a simple one for candidates: AI coding tools may help with study, but they have not replaced timed problem solving, pattern recognition or verbal explanation in interviews. ### If AI can write code, why are students still drilling DSA? Google’s 2027 internship outreach tells applicants to use its Student Hub for resume and interview-prep resources, according to the company’s student recruiting materials cited in the briefing. That keeps coding interviews in the center of the internship pipeline even as AI-assisted development tools spread. Recent YouTube interview-prep videos have reflected the same approach. Titles including “DSA Mock Interview | Mock Coding Round,” “Amazon Online Assessment - August 2026,” and “Infosys Round 2 Roadmap 2026 | 7-Day Study Plan” have framed preparation around coding rounds, online assessments and simulation rather than around AI-generated solutions, according to the media briefing built from the latest video slate. ### Which parts of DSA are still showing up most often? The recurring problem families in recent prep content are the standard screening set: arrays and hashing, sliding window, two pointers, binary search, stacks and queues, trees, graph traversal, greedy basics, prefix sums and easier dynamic programming patterns, according to the media briefing. The web briefing made the same point in a more explicit checklist, naming arrays and strings, hashing, linked lists, stacks and queues, trees, graphs, recursion, dynamic programming and SQL as the core topics students should continue practicing. That list matches the structure of many entry-level online assessments, which tend to reward fast recognition of common patterns and clean implementation under time pressure. ### What are recruiters and coaches telling students to practice differently now? The recent advice has shifted from finishing topics once to rehearsing the interview setting itself. The media briefing said current videos emphasize timed problem solving, bug-free coding under pressure, explaining thought process aloud and switching between multiple-choice, aptitude and coding formats depending on the company. That has produced a more simulation-heavy routine. The guidance summarized in the briefing recommends one timed online assessment each week, one mock interview every two weeks and repeated verbal walkthroughs without coding. The web briefing proposed a weekly structure of four days of two DSA problems a day, one day for SQL and databases, one day for project work and one day for mock explanation aloud. ### Where does AI fit if it is not supposed to replace practice? The web briefing said students should use AI as “a sparring partner, not a substitute.” In practice, that means solving a problem first, then asking a model for an alternative approach, and comparing time complexity, edge cases and readability. That framing also appeared in broader career commentary in the social briefing, where software engineers discussing AI-generated code said the remaining human tasks were specification, review, validation and judgment. For interview prep, that leaves the candidate responsible for the reasoning. A tool may suggest code, but the applicant still has to explain why a hash map works, when breadth-first search is preferable, or how a dynamic programming state is defined. ### What does this mean for students balancing projects and interview prep? Recent career videos have continued to tell students that portfolio quality matters for hiring, but they have not displaced interview prep. The media briefing recommended a 60/40 split for early-stage students — 60% portfolio or project work and 40% DSA and interview preparation — to cover both practical building and coding screens. Google’s internship materials, recent mock-round videos and the briefing’s recommended schedules all point to the same next step: candidates should keep one interview language, build a pattern bank, and rehearse live explanations before application deadlines. The next visible checkpoints are the 2027 internship cycles already opening and the company-specific online assessments that follow those applications.