Brute-forcing my algorithmic ignorance with an LLM in 7 days
blog.dominikrudnik.pl
March 22, 2026
19 min read
Summary
A candidate received an unexpected email from Google regarding a job application submitted a year prior. The candidate is preparing for two upcoming online interviews, one technical and one behavioral.
Key Takeaways
- The author received an interview opportunity from Google after a year of applying, prompting a need to prepare for technical and behavioral interviews.
- The author recognized a significant knowledge gap in algorithmic concepts and decided to use a Large Language Model as a learning tool to prepare for the interviews.
- The preparation strategy focused on identifying algorithmic patterns rather than solving problems directly, due to time constraints and prior unsuccessful attempts at learning algorithms.
- The author aimed to learn through conceptual hints and real-world examples, avoiding code output during the learning sessions with the AI.
Community Sentiment
MixedPositives
- Using LLMs for personalized learning can surpass traditional courses, as they adapt to individual progress and needs, potentially revolutionizing education.
- LLMs have the potential to significantly impact the educational landscape, forcing educators to adapt to a new reality where AI can provide tailored support.
Concerns
- The article lacks detail on how interview tasks were generated, raising questions about the reliability of the methods used.
- There is a disconnect between understanding concepts and applying them under pressure, highlighting limitations in relying solely on LLMs for learning.
Source
blog.dominikrudnik.pl
Published
March 22, 2026
Reading Time
19 minutes
Relevance Score
51/100
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