| Location | Brooklyn NY |
| Web | https://mattbrown.dev |
I created two PHP sites in 2011 that are still going, 15 years later. Code that got the job done but was terribly-written. Yesterday I spent a couple of hours with Claude, which modernised the code and eliminated a few egregious vulnerabilities. Some things broke in the migration and optimisation, but they were easy to fix.
It wasn’t worth my time to do this work myself, and paves the way to move a bunch of sites (including psalm.dev) off a $1,000/year server to something much cheaper.
Announcing the official, hyperoptimized Psalm docker image, +50% faster than Psalm on normal PHP!
I've also contributed the underlying deepbind patch to upstream PHP, and it will be available for everyone to use in PHP 8.5 (or right now, if you're using the Psalm docker image)!
https://blog.daniil.it/2025/07/10/official-psalm-docker-image/
(I work at Slack, opinions my own) A bunch of people are sharing viral social media posts saying that we train LLMs on customer data. It's a story that slots neatly into the hype/doom narrative around AI.
But it's not true — we even wrote a whole blog post about it last month: https://slack.engineering/how-we-built-slack-ai-to-be-secure-and-private/
Not discounting the other concerns around LLMs (e.g. hallucinations, environmental impact) that are totally legitimate.
At Slack, we’ve long been conservative technologists. In other words, when we invest in leveraging a new category of infrastructure, we do it rigorously. We’ve done this since we debuted machine learning-powered features in 2016, and we’ve developed a robust process and skilled team in the space. Despite that, over the past year we’ve been …
Daniil Gentili
Jesse
Matt Round
