Best Books to Prepare for a Coding Interview, According to Reddit

Search for the best books to prepare for a coding interview and you’ll find lists written by people selling courses. The tracked r/cscareerquestions data repeatedly mentions the same handful of books, while the published excerpts include pointed objections and stage-specific advice. This roundup ranks seven books by mention volume, then uses those excerpts to explain what the counts alone cannot.

Updated July 2026.

1. Cracking the Coding Interview by Gayle Laakmann McDowell — 550 mentions

The most-mentioned interview book in the dataset has 381 mentions from r/cscareerquestions. The ↑348 thread explains the criticism: McDowell codified the Google-style interview, and then the market spent a decade gaming the system she documented. The ↑263 post traces the LeetCode era back to CTCI and Facebook’s adoption of the format. Its remaining role is orientation. r/learnprogramming contributes 54 mentions, and selected excerpts point new graduates here to learn the format before moving to LeetCode for volume. One warning from the ↑278 thread: the book’s advice to disclose previously seen problems backfired on a commenter at a major company.

2. Designing Data-Intensive Applications by Martin Kleppmann — 436 mentions

Not an interview book by design, but it appears repeatedly in system-design discussions. The ↑349 r/ExperiencedDevs excerpt calls it “your bible” for backend work, and a ↑236 comment credits it with providing shared vocabulary for architecture conversations. The distribution is concentrated in r/ExperiencedDevs (220 mentions) and r/cscareerquestions (124). Published excerpts also warn that readers who have not encountered scaling problems may see only a catalog of unfamiliar tradeoffs. For senior-level loops, use it to understand replication and consistency rather than memorize a template.

3. Introduction to Algorithms (CLRS) by Cormen, Leiserson, Rivest & Stein — 187 mentions

A ↑105 comment identified a viral interview-tips tweet as “literally just section headings from CLRS.” The book has 187 mentions tied to 177 case-insensitively distinct account identifiers across 12 subreddits, led by r/learnprogramming (70) and r/compsci (35). Identifiers are not a count of distinct people. The published interview-specific advice treats it as a reference, not a cover-to-cover prep plan. If an interviewer cares what O(n log n) means and why, its proofs teach correctness thinking that pattern matching does not. Mentions declined from 51 in 2019 to 12 in 2025; that records attention, not the book’s validity.

4. System Design Interview by Alex Xu — 81 mentions

A ↑171 r/cscareerquestions comment says its author “owned” his current position to Alex Xu. A ↑203 thread reduces the senior prep stack to this book, the System Design Primer, and NeetCode. r/ExperiencedDevs accounts for 39 of the 81 mentions, and a ↑349 frontend developer describes it as a gap-filler before an interview loop. The ceiling, flagged in-thread, is that it is interview-scoped rather than production-scoped, which is why selected excerpts pair it with DDIA. It recorded 15 mentions in 2025.

5. Grokking Algorithms by Aditya Bhargava — 24 mentions

The on-ramp. Twenty-one of its 24 mentions are in r/learnprogramming, where published excerpts place it early in DS&A learning paths because the illustrated, Python-based ramp-up is gradual. One workflow (↑75, r/cscareerquestions) is to read a chapter, then hunt for matching LeetCode Easy problems, using the book as scaffolding rather than a destination. Other excerpts warn that coverage stops short of interview demands and that the book has no exercises. If “go study DS&A” currently means nothing to you, this is the translation layer.

6. Elements of Programming Interviews by Aziz, Lee & Prakash — 11 mentions

The volume play: 300 problems, C++/Java/Python editions, a study guide, and an online judge for every problem — the ↑26 r/cscareerquestions comment calls it “phenomenal” and catalogs exactly that. A ↑42 comment places it alongside CLRS and CTCI. An r/ExperiencedDevs excerpt supplies pacing math (↑34): 1–2 hours most nights, two weeks to FAANG-ready, or four to reduce burnout. Another thread (↑43) includes experienced developers deciding the prep grind is not worth it. Eleven mentions are too few for a broad verdict; the selected excerpts show both uses.

7. Beyond Cracking the Coding Interview by McDowell, Mroczka, Lerner & Mamano — 2 mentions

Included with full disclosure: two tracked mentions is too little for a broad verdict. Both land in 2025 r/cscareerquestions threads. A ↑62 comment prescribes it as a working-smarter move, and a mid-read ↑10 comment describes LeetCode data structures and algorithms plus topics such as monotonic stacks. The published excerpts do not include a head-to-head comparison with the original CTCI, so community evidence remains thin.

An editorial prep sequence from the excerpts

Assembled from the published excerpts: Grokking Algorithms if you’re new → CTCI once, for format and the behavioral round → EPI or LeetCode for reps → Alex Xu for the system-design loop → DDIA when you’re interviewing senior and need the underlying tradeoffs. CLRS stays on the shelf as a reference. This is a practical synthesis of selected comments, not evidence that r/cscareerquestions converges on one sequence; the 381 CTCI mentions measure attention only.