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.
50 resources
Atlassian's webinar discusses its 2026 developer-experience report, AI adoption and organizational strategy. Free registration offers November 9–10 sessions, with a recording sent to registrants who cannot attend.
OpenAI engineers describe Pando, a new backend for Git repositories built to handle the volume of concurrent pushes from engineers and Codex agents in the company's monorepo, while staying compatible with standard Git clients. Performance claims are OpenAI's own.
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.
An analysis of different AI engineering roles and what they build in 2026.
A Prefect engineering blog post explaining what a directed agentic graph is, why plain loops fall short for agent workflows, and how graphs let you trade control for autonomy deliberately.
A GitHub blog post describing Project HydraFusion, a research preview in GitHub Copilot that orchestrates multiple AI models for coding workflows. According to the post, in controlled offline evaluations HydraFusion's selective coding workflows matched or exceeded the evaluated Opus 5 baseline while reducing estimated workflow cost. Published September 4, 2026.
Essay arguing that software architecture is about making good decisions easier on a timeframe you can reason about — startups, banks, open source projects and large companies each face different time horizons and constraints, and many architecture disagreements are really disagreements about what timeframe is reasonable.
Personal essay by engineer Dakota Fabro on mapping your own knowledge gaps — a practical reflection for people building technical careers.
Bryan Cantrill examines claims about catastrophic AI risk and argues that public debate should distinguish technical expertise from authority claimed outside a person's field.
Essay by engineer Sunil Pai on proving yourself as a senior engineer, burnout, and being a good teammate. Free to read.
The site of Prometheus, an AI startup co-founded in November 2025 by Jeff Bezos and Vik Bajaj (co-CEOs) that is building AI tools to speed up engineering and manufacturing of physical products. It raised $12 billion at a $41 billion valuation in June 2026, per CNBC.
Research news from the University of Oxford's Department of Engineering Science: robotics, energy, biomedical engineering, AI and more.
Why I recommend it: A university news page, so it highlights its own wins. A handy way to spot new research before it hits the headlines.
A clear, patient walkthrough of how full-text search actually works inside a database: inverted indexes, term dictionaries, postings lists, tokenizers, BM25 scoring, and how Postgres does each part. Written by Patrick Reynolds and Eric Ridge and published 22 September 2026. Free to read, no sign-up.
Why I recommend it: The best free explanation I have found of what a search engine is doing under the bonnet — useful even if you never touch a database, because it shows why a search box returns what it returns. It is published by PlanetScale, who sell hosted Postgres, so the closing pitch is theirs; the explanation itself stands on its own.
Personal site of Ian Duncan, a software engineer and entrepreneur writing about engineering, AI and life. Essays range from a beginner-friendly guide to AI models to critical takes on AI culture and the apocalypse narrative.
From the site: I
Question banks for more than 100 technical roles — Node.js, Azure, Golang, Kubernetes, OAuth and more — each with sample answers, updated regularly. Free to read with no sign-up.
From the site: Ready-to-use technical interview questions and structured guides for developer roles and frameworks, from Remix to Magento. Updated September 2026.
Why I recommend it: Written for the people doing the interviewing, which is exactly why it is useful — you get to see the questions and the answers they are grading against.
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.
A vetted marketplace matching senior engineers, researchers and AI specialists with companies. Free for engineers to apply and be matched; companies pay only on hire.
From the site: Hire global, AI-first engineers with Index.dev. Skip delays and scale your tech team with pre-verified, secure, and compliant talent to build faster.
Why I recommend it: Free on the candidate side — you are the product being placed. Expect a real vetting process rather than a quick apply button.
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.
IEEE pre-university STEM education resources, lesson plans and programs for students and educators.
Engineering and technology news site covering AI, energy, space and hardware, free to read with an optional paid ad-free tier.
From the site: Explore Interesting Engineering for cutting-edge articles, news, and insights on technology, innovation, and the future of engineering worldwide.
Why I recommend it: Broad and fast-moving, sometimes breathless. Fine for spotting stories, worth checking the original source before repeating one.
Official news from CERN, the European particle physics laboratory: accelerator and experiment updates, computing and engineering write-ups, and knowledge-sharing pieces, filterable by topic and audience (general public, students, educators, policymakers). Free to read, no account.
Why I recommend it: Worth following if you want technology news written by the people doing the work rather than by a tech press cycle. The Computing and Knowledge sharing topics are the useful filters for a career audience — CERN publishes plainly about large-scale computing, data handling and open-source work, and the writing is aimed at non-specialists.
Blue Origin's internship listings — paid engineering, business and operations placements, with the application windows and locations for each.
Why I recommend it: Aerospace internships close early — most summer openings are filled by the previous autumn.
Engineering and policy writing from Palantir on data platforms, government deployments, defence technology and how the company approaches privacy controls.
Why I recommend it: Read it critically — it is a company blog on a contested subject, which makes it useful primary material for understanding the industry's own arguments.
Announcement explaining why the Rune IDE was rebuilt from first principles in Go and released under the GPLv3, including a contributor program that shares revenue with outside contributors.
Why I recommend it: A clear read on how open-source projects actually get funded and how new contributors can get paid for their work.
