OTC CatchUp #224 Summary

General Introduction

We compared code editors including VSCode, Cursor, and Zed. Cursor offered superior AI support, while VSCode maintained its reliable features and Zed provided fast performance and enhanced vim integration.

Sahil, Pranav, and Darshan discussed databases, phantom reads, transactions, and locks following a demonstration by Sahil.

Rishit and Viranchee discussed implementing a convolution algorithm in both CUDA and CPU to address an interview question.

Sahil sought support for his database project, and Rishit recommended using an LLM to provide input in a structured format—pointing out that English is the ideal language both for writing code and for communicating with computers.

Thought Experiment: We explored a scenario where everyone had equal financial resources and AI, particularly LLMs, managed all tasks—discussing the potential social and economic impacts of such a world.

Viranchee shared his approach for applying to jobs and getting interviews, emphasizing the importance of a relevant resume and applying early.

Alpesh was working on a CTF and he asked for opinions on how to approach the challenge.

Darshan showcased AntiLang, a language that he wrote in Go whiile reading Writing an Interpreter in Go.

Sahil Bansal showcased his implementation of a database that he calls AtmomixDB. He built it n GoLang while reading Build Your Own Database.