Choose appearanceLightDarkSystem

Opening the reading room…

Physical AI. Robotics. Language models.
Firsthand engineering. Shared discovery.

Sources About the Hall Follow the Hall Editor workspace

A gathering place for curious engineers. Every article belongs to its original author.

FOLLOW A QUESTION FURTHER

The library

Practical lessons, original research, and the details that make systems work.

All writing Physical AI Robotics LLMs & agents Other engineering

Search the library

Refine your reading (1)

SourceTopicTechnologyArticle type

2 articlesReset filters

Developer tools ×

Implementation

Alex Kladov

Finding Bugs

FINDING BUGS Sep 19, 2026 Are generative (randomized) tests significantly more effective than example-based unit-tests at discovering bugs? There’s an interesting discussion about this on lobste.rs. One argument in favor of unit tests is, paraphrasing > My generic fuzzer wasn’t able to find this tricky bug in Rust regex crate. To me, it seems that

Sep 19, 2026

Implementation

GitHub Engineering· Erik Kristensen

How we make AI coding more cost efficient without sacrificing task quality

Output quality is important when working with AI coding agents, but true efficiency comes from getting work done quickly, efficiently, and with the right context. That’s why token count of individual interactions alone isn’t a meaningful measure of efficiency. The goal shouldn’t be to use fewer tokens, but to tap into the right amount of context to

Sep 2, 2026

LLMs & agents Model evaluation Performance Developer tools