Themata.AI
Themata.AI

Popular tags:

#developer-tools#ai-agents#llms#claude#ai-ethics#code-generation#openai#ai-safety#anthropic#open-source

AI is changing the world. Don't stay behind. Clear summaries, community insight, delivered without the noise. Subscribe to never miss a beat.

© 2026 Themata.AI • All Rights Reserved

Privacy

|

Cookies

|

Contact
ai-recruitmentdeveloper-toolsalgorithmic-thinkinginterview-preparation

Brute-forcing my algorithmic ignorance with an LLM in 7 days

Qikcik

blog.dominikrudnik.pl

March 22, 2026

19 min read

🔥🔥🔥🔥🔥

51/100

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.
Read original article

Community Sentiment

Mixed

Positives

  • 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.

Related Articles

I'm Coding by Hand

Spending 3 months coding by hand

Apr 17, 2026

Building for an audience of one: starting and finishing side projects with AI

Building for an audience of one: starting and finishing side projects with AI

Feb 17, 2026

I built a Game Boy emulator in F#

I built a Game Boy emulator in F#

Apr 30, 2026

Jimmy Miller

Untapped Way to Learn a Codebase: Build a Visualizer

Feb 20, 2026

Vjeux

Porting 100k lines from TypeScript to Rust using Claude Code in a month

Jan 26, 2026