5 free resources on this topic. Everything here is free and hand-picked. You can also search within this topic.
The raw feed of everything just posted to Hacker News: launches, job posts, essays and outages, hours before it reaches the front page.
Why I recommend it: Skim it once a day rather than reading it all. Great for spotting new tools and hiring threads early.
A free community space for readers of The Rundown AI newsletter, where you can ask questions about AI tools, share what you are building and see what other people are testing.
Why I recommend it: A low-pressure place to ask beginner AI questions without burning a favor with a colleague.
Explore discussion dynamics, ranking patterns and engagement stats across Hacker News stories.
Why I recommend it: A live analytics view of how Hacker News stories perform and spread.
Lobsters community discussion among working engineers on keeping code review standards and human judgment intact as AI-generated code volume grows.
Why I recommend it: Read the comments as much as the post. This is what hiring managers on engineering teams are actually worried about right now.
A long crowd-sourced discussion among working engineers arguing both sides of the degree question, with detail on where formal study helps and where self-teaching is sufficient.
Why I recommend it: Read the disagreements, not just the top comment. The pattern: degrees help with first-job screening, portfolios help with everything after.
