Resource Hub
3505 hand-picked resources for students, job seekers, career changers, founders, and AI learners — 100% free to browse with no account required.
Filtered by tag
Answers come only from resources in this hub, with the sources listed.
37 resources
Personal site of machine-learning engineer Hamel Husain, with writing and teaching on AI evaluation, debugging, analysis, and measurement, drawing on prior work at Airbnb and GitHub.
Blog of developer Peter Steinberger covering AI-powered tools and software development, with code published on GitHub.
The personal site and blog of a Toronto-based open source developer known for Amfora, a terminal browser for the Gemini protocol, and for image dithering tools (dither, didder, Dithertime). Posts cover small-internet protocols, open source projects, voting systems, and software design. Free to read.
Why I recommend it: A good example of the "small web" corner of the internet: one person, useful open source tools, thoughtful writing. Follow if you are interested in protocols and software outside the big platforms.
Blog posts by Iris van Rooij, a cognitive scientist whose writing covers cognition, computation, and critical perspectives on AI claims.
Site of Cal Newport, computer science professor and author of Deep Work, with his long-running blog on focus, productivity, and technology's role in work and life.
The Plot blog—notes on AI agents that decode social video, creator intelligence, and marketing strategy.
Why I recommend it: This is Plot's public blog; Plot also sells AI-powered social-video intelligence tools.
Daily reporting on AI, science and technology, with a running focus on where AI claims meet reality. Free to read.
From the site: Discover the latest science and technology news on breakthroughs that are shaping the world of tomorrow with Futurism.
Why I recommend it: Skeptical by habit, which is useful — it covers the AI stories that companies would rather see written kindly. Headlines run hot, so read the piece before repeating it.
Technical writing on legacy modernisation, monoliths and microservices, technical debt, cloud migration and where AI coding tools break down on large old codebases.
From the site: Check out all latest posts from vFunction including modernization strategies, cloud migration best practices, and company updates.
Why I recommend it: technical rather than promotional, though vFunction sells modernization software. The pieces on AI assistants meeting million-line codebases are the honest ones.
Articles on building and managing remote engineering teams, offshore hiring, and the day-to-day of software delivery — free to read.
From the site: Explore the nCube Blog for expert insights on software development, team building, and the latest tech trends. Stay updated and empower your business with knowledge.
Why I recommend it: A staffing company's blog, so it argues for hiring remote teams. Useful for understanding how distributed engineering teams actually get staffed and run.
Writer, technologist and entrepreneur. A long-running blog about making culture and technology since 1999.
From the site: A blog about making culture. Since 1999.
The UK AI Security Institute blog, sharing research and work to enable advanced AI governance.
From the site: View AISI research and work. The AI Security Institute is a directorate of the Department of Science, Innovation, and Technology that facilitates rigorous research to enable advanced AI governance.
Deep learning pioneer and Turing Award winner, now focused on AI risk. His site holds papers, talks and written positions; his Google Scholar list has the full publication record, most-cited first.
From the site: Yoshua Bengio is Full Professor of Computer Science at Université de Montreal, Co-President and Scientific Director of LawZero, as well as the Founder and Scientific Advisor of Mila. He also holds a Canada CIFAR AI Chair.
Why I recommend it: One of the three people whose work made modern AI possible, who now spends much of his time arguing it needs guardrails. Read him alongside people who disagree.
Profile and writing from Rocky Yu, part of the AGI House team running its residencies and build events.
Why I recommend it: Follow him if you want to know what the applied AI community is building week to week rather than what the press covers.
Security technologist Micah Lee's site — tools, writing and guidance for journalists, researchers and activists working safely.
From the site: Hi, I'm Micah. I help journalists, researchers, and activists stay safe and productive.
Why I recommend it: Follow him for practical security practice rather than theory, especially if your work involves sensitive sources.
A Breaking Change blog post on building tooling to build the tooling — an honest walkthrough of automating a small side business with AI assistance.
Why I recommend it: A good antidote to launch-day stories: most of the work is plumbing, and this shows the plumbing.
Computer scientist Scott Aaronson takes stock of where AI actually stands in 2026 — what has arrived, what he got wrong, and how to think clearly about the hype and the fear at the same time.
Writing of Adam Elkus on technology, security, AI and political violence — long-form essays connecting computing history with policy and human values.
Why I recommend it: Follow for the slower, historically grounded take on AI debates.
Site and writing of security researcher Marcus Hutchins, known for stopping the WannaCry ransomware attack — malware analysis, security explainers and reflections from an unconventional path into cybersecurity.
Why I recommend it: A strong example of a self-taught technical career — worth following if you are breaking into security without a degree.
A step-by-step guide to building a static site with Eleventy and publishing it on GitHub Pages.
Why I recommend it: A practical, low-cost way to publish a personal portfolio or project site.
Ongoing resume, LinkedIn and executive job-search advice from professional resume writer Virginia Franco.
Why I recommend it: Straightforward resume guidance, especially for mid-career and executive roles.
Recruiting and talent-operations blog covering hiring processes, applicant tracking systems, and how recruiters actually evaluate candidates.
Why I recommend it: Reading recruiter-facing blogs tells you what happens after you hit submit. That context changes how you write applications.
Blog on recruiting automation, candidate screening, and conversational AI in hiring, from a recruiting-technology company.
Why I recommend it: Learn how AI screening works so you can write applications that survive it.
Free articles from the Willa community on using AI at work: practical tool comparisons, prompt patterns, and career questions about AI skills.
Why I recommend it: Short, concrete posts. Skim the AI-at-work pieces before your next interview.
Chip Huyen writes clearly about building real machine learning and AI systems: evaluation, data, deployment, and the parts that break in production.
Why I recommend it: Read her posts on evaluation. It is the skill most people building with AI skip.
