I had a random discussion in my Telegram group about AI. I noticed that some of them had really high token usage and very long sessions. After some more discussion, I realised that they had fairly complex setups, with lots of coordination between their agents. Like any other engineer on a weekend, I opened my laptop and fired up two separate Pi sessions to run the same task. One used no subagents and the other used subagents. ...
I run a small site called hnhiring that indexes the monthly “Ask HN: Who is Hiring?” thread on Hacker News and lets you filter it by location. The thread is great, but it’s very US-focused. I was job hunting in Europe at the time, so I decided to build it mostly to scratch my own itch. The way it works is pretty simple. A Go program pulls every post from a month’s thread, and then a model reads each post and pulls out the useful bits: the tech stack, the location, the salary, visa sponsorship, and a link to apply. Those results get saved as JSON and served from a single HTML file. Usually a full month is around 300 posts. ...