This link was posted by paprikati 1 day ago on HN. It received 91 points and 95 comments.

1-Sentence Summary: The article describes incident.io's project to evaluate upgrading their developers' MacBooks to M3 models by tracking and analyzing build times using a custom Go hot-reloader and OpenAI models, leading to the decision to upgrade M1 models to M3 Pro with 36GB memory​​.

50-Word Summary: Incident.io, to decide if upgrading to M3 MacBooks was worthwhile, created a Go hot-reloader to track developers' build times, analyzing the data with OpenAI models. They determined faster feedback loops increased productivity. Ultimately, they chose to upgrade M1 MacBooks to M3 Pro with 36GB memory, based on the findings​​.

100-Word Summary: Incident.io, evaluating the potential upgrade to M3 MacBook Pros for their developers, developed a custom Go hot-reloader to gather build telemetry data from existing MacBooks. The goal was to understand if faster hardware could improve developer productivity by speeding up common feedback loops like compiling Go apps. The analysis, aided by OpenAI models, revealed the importance of quick feedback loops in enhancing productivity. Concluding their research, incident.io decided to upgrade their M1 MacBooks to the base M3 Pro model with 36GB memory, acknowledging the substantial performance improvement, especially for intensive tasks, while opting to retain M2 models due to their adequate performance