March 22, 2026
From LeetCode to Cheatcode?
Brute-Forcing My Algorithmic Ignorance with an LLM in 7 Days
AI cram school for a Google interview? Commenters call it genius, cringe, and the future
TLDR: A developer used an AI chatbot as a weeklong tutor to prep for a Google-style puzzle interview, focusing on concepts over code. Commenters split between cheering AI-powered learning, slamming Google’s hiring puzzles, and questioning missing details—raising the bigger question of whether AI just rewrote the interview playbook.
A developer gets a last‑minute shot at a Google interview and does what half the internet secretly dreams of: turns an AI chatbot into a weeklong personal tutor. No code, just concepts, patterns, and metaphors—an AI cram school to survive the dreaded puzzle gauntlet. Cue the comment section fireworks under the post.
Fans showed up with pom‑poms. One reader swore that learning with an AI feels better than a class, because it adapts to you. Another said they used the same approach for “super‑hard crypto stuff” and it clicked—with caveats. The wholesome crowd applauded the author for being honest about using AI as a learning tool, not a cheating machine.
But the skeptics were loud too. A meticulous commenter called the write‑up “light on details,” pressing for how the list of interview tasks was made and what actually happened in the interview. And then came the cynics with the match and gasoline: a fiery take blasted Google’s hiring as “LeetCode BS,” declaring it used to be cool to work there and calling this AI‑assisted prep an inflection point where the process eats itself. Memes flew: “LeetCode vs Cheatcode,” “AI is the new flashcards,” and “Google interviews: Dark Souls, now with a guide.” The verdict? Half inspiration, half existential crisis about tech interviews—and whether AI just broke them for good.
Key Points
- •An unexpected email from a Google domain led to two online interviews scheduled in one week.
- •The author’s background is in telecommunications software with pragmatic data structures and limited classical algorithm experience.
- •Previous attempts at learning algorithms via books, videos, and LeetCode grinding were ineffective for the author.
- •The author set a goal to learn algorithmic patterns and concepts rather than focus on coding solutions.
- •They used Gemini Pro as a no-code, concept-focused tutor, seeded with their CV and Google’s prep materials.