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Best Computer Science Blogs for 2026

Piero Borrelli
11 min read
technical-blogs
TL;DR: The best computer science blogs for 2026 are:
  1. DigitalOcean Community (4.8/5.0) – Comprehensive daily content covering all CS topics
  2. Stack Overflow Blog (4.6/5.0) – Expert insights with extensive archive of validated solutions
  3. FreeCodeCamp (4.6/5.0) – 10,000+ articles across programming and computer science
We evaluated the top leading computer science blogs based on writing quality, consistency, longevity, technical depth, and broad usefulness. These resources serve computer science students, professionals, and enthusiasts across all specializations and skill levels.

Computer science is an amazing field of study, formalizing as a college discipline in the ’60s and evolving through the decades since to become part of daily life around the world. And, for some of us, it’s also turned into a passion.

Whether computer science is one of your college courses or just something of casual interest, this blog post is dedicated to you. Detailing 26 of the best computer science blogs, this list is a place to start; continue your own education and find enriching, intriguing topics related to this rapidly changing discipline, no matter your level of experience or your background.

For easy skimming and quick decision-making, I’ve rated each blog based on five different criteria:

  • Writing quality: the overall quality and readability of the content the blog normally produces.
  • Consistency: how often the blog produces new content.
  • Longevity: the length of time the blog has been around, which often indicates the trustworthiness and authority of its content.
  • Technical depth: the level of technical detail you can expect to find on the blog.
  • Broad usefulness: how many different interests, disciplines, and skill levels the blog appeals to.

DigitalOcean

Currently the richest, most active place online, in my opinion, where you can read articles dedicated to computer science. A vast amount of contributors publish new content daily, from coding to data-structures, from networks to databases. A great place to start no matter what knowledge needs you may have in computer science.

  • Writing quality: 5

  • Consistency: 5

  • Longevity: 4

  • Technical depth: 5

  • Broad usefulness: 5

Overall score: 4.8

Stack Overflow Blog

Stack Overflow maintains a valuable blog publishing articles about computer science topics, programming languages, and developer trends. Our founder, Karl Hughes, has been a contributor. The platform has faced challenges in recent years: question volume dropped from over 200,000 monthly at peak to under 50,000 by late 2025 as developers shifted to AI coding assistants. Despite this, the blog and its extensive archive of community-validated answers remain useful for learning established patterns and understanding how experienced developers approach problems.

  • Writing quality: 5

  • Consistency: 4

  • Longevity: 5

  • Technical depth: 5

  • Broad usefulness: 4

Overall score: 4.6

LeetCode Discuss

The industry-standard platform for coding interview preparation hosts an active discussion forum where developers share solutions, explain algorithms, and discuss problem-solving approaches daily. With over 3,000 problems and company-specific tags showing which questions appear at Google, Meta, Amazon, and other tech companies, LeetCode serves as both a practice environment and knowledge-sharing community. The discuss section provides multiple solution approaches for each problem, often with detailed complexity analysis.

  • Writing quality: 4

  • Consistency: 5

  • Longevity: 4

  • Technical depth: 5

  • Broad usefulness: 4

Overall score: 4.4

Freedom To Tinker

Freedom To Tinker

Hosted by Princeton University’s Center for Information Technology Policy, this is what happens when a research center explores the intersections of technology, engineering, public policy, and the social sciences. The UI is a bit hard to approach, but once you get past that, you’ll discover an amazing source for computer science articles. New content is posted weekly, from deeply technicals articles to discussions of the impact of technology on our daily lives.

  • Writing quality: 5

  • Consistency: 4

  • Longevity: 4

  • Technical depth: 4

  • Broad usefulness: 4

Overall score: 4.2

Coding Horror

The website name might make you think this site is all about coding, but creator Jeff Atwood has also dealt thoughtfully with growing a vast and rich library of content for computer science enthusiasts. New content isn’t published that frequently, but since the blog’s been around for more than 15 years, I’m sure you’ll find lots of little gems to build your knowledge.

  • Writing quality: 5

  • Consistency: 2

  • Longevity: 5

  • Technical depth: 5

  • Broad usefulness: 4

Overall score: 4.2

MIT Technology Review

MIT Technology Review

You can probably guess what the main topic here is. The Massachusetts Institute of Technology has created a fantastic platform for self-education in computer science, with weekly articles that are especially great for students.

  • Writing quality: 5

  • Consistency: 5

  • Longevity: 4

  • Technical depth: 3

  • Broad usefulness: 4

Overall score: 4.2

Tutorialspoint

This website is the solution to whatever you may desire to learn in computer science. Find thousands of articles related to any tech field you can imagine, from databases to programming languages and computers’ hardware. Absolutely one of the best linear ways to study this discipline online.

  • Writing quality: 3

  • Consistency: 4

  • Longevity: 5

  • Technical depth: 4

  • Broad usefulness: 5

Overall score: 4.2

FreeCodeCamp

FreeCodeCamp is well-known to most developers out there. As years passed, the site established itself as one of the top places to go if you were interested in coding. But it doesn’t end there; hit up the blog with more than 6,000 articles covering not only programming languages but any computer science topic you may be curious about.

  • Writing quality: 4

  • Consistency: 4

  • Longevity: 3

  • Technical depth: 5

  • Broad usefulness: 5

Overall score: 4.2

GeekforGeeks

Like Tutorialspoint, GeeksforGeeks is a great resource for anything related to computer science, but with more regard toward code-centered topics, like data-structures and general programming languages. A great resource if you have an inclination for this side of tech, with articles published weekly.

  • Writing quality: 4

  • Consistency: 5

  • Longevity: 4

  • Technical depth: 4

  • Broad usefulness: 3

Overall score: 4

11011110

Irvine professor David Eppstein created this blog to publish weekly articles about nearly anything, but always through the eyes of a computer’s scientist. A great resource if you’re passionate about computer science and curious about approaching the world from a technical point of view.

  • Writing quality: 4

  • Consistency: 5

  • Longevity: 4

  • Technical depth: 4

  • Broad usefulness: 3

Overall score: 4

Khan Academy

The goal of the experts behind Khan Academy is truly moving: to provide the entire world with high-level—always free—online courses. Of course, the site includes a specialized computer science section, helping you take steps into this world with in-depth videos and text to make your lessons enriching.

  • Writing quality: 5

  • Consistency: 4

  • Longevity: 4

  • Technical depth: 4

  • Broad usefulness: 3

Overall score: 4

Treehouse Blog

Treehouse Blog

Treehouse is a platform for teaching people how to code via online courses, and fortunately for all of us, they’ve decided to complement their resources with a fantastic technical blog. The blog’s articles run the gamut of computer science, from computer theory to programming languages and networks. They also offer great career advice, if you’re trying to enter the tech industry. Overall, I appreciate their clear interface and how well-edited their weekly articles are.

  • Writing quality: 5

  • Consistency: 4

  • Longevity: 3

  • Technical depth: 4

  • Broad usefulness: 3

Overall score: 3.8

Daniel Lemire

Daniel Lemire is a computer science professor at the University of Quebec (TELUQ) in Montreal. His research and, as a result, his blog are focused on software performance and data engineering. Find great weekly articles written by quite a talented and funny writer.

  • Writing quality: 4

  • Consistency: 5

  • Longevity: 4

  • Technical depth: 4

  • Broad usefulness: 2

Overall score: 3.8

Towards Data Science

One of the biggest Medium publications out there, Towards Data Science is focused, of course, on data science, but there’s a good amount of content related to programming languages as well. It’s the best fit if you’re interested in AI or machine learning, and bonus, new content is added daily.

  • Writing quality: 5

  • Consistency: 4

  • Longevity: 3

  • Technical depth: 5

  • Broad usefulness: 2

Overall score: 3.8

Google AI Blog

Artificial intelligence (AI) is a branch of computer science poised to take over our world in the next few decades, and Google is one of the companies leading that change. To share news of their forays into this world, they’ve created an intriguing, deeply technical blog. You’ll find hundreds of articles related to AI, so be prepared to learn something new every day.

  • Writing quality: 5

  • Consistency: 5

  • Longevity: 3

  • Technical depth: 4

  • Broad usefulness: 1

Overall score: 3.6

studytonight

With core principles similar to the Khan Academy, studytonight wants to share technical knowledge with students across the world for free. The site holds a vast library on all computer science topics, and is a great place to start with any question you may have about the nuances of the world of tech.

  • Writing quality: 4

  • Consistency: 4

  • Longevity: 2

  • Technical depth: 4

  • Broad usefulness: 4

Overall score: 3.6

Computational Complexity

Produced by computational theorists Lance Fortnow and Bill Gasarch, this blog provides weekly articles about computer science, mathematics, and the relationship between technology and people. Plan on going deep with articles that also analyze public figures and current events.

  • Writing quality: 3

  • Consistency: 5

  • Longevity: 4

  • Technical depth: 3

  • Broad usefulness: 3

Overall score: 3.6

John D. Cook

A former math professor and developer, John D. Cook is a consultant these days, with a weekly blog about solving daily problems with coding and math. You’ll also find cool articles about using coding skills in business.

  • Writing quality: 3

  • Consistency: 4

  • Longevity: 3

  • Technical depth: 4

  • Broad usefulness: 3

Overall score: 3.4

Cisco Blog

If you’re very inclined toward the networks side of computer science, be sure to check this one out. Cisco always makes a great impression with their professionalism, in their products and in their articles. You’ll find daily, professionally edited content related to networks and the future of connection.

  • Writing quality: 4

  • Consistency: 5

  • Longevity: 3

  • Technical depth: 4

  • Broad usefulness: 1

Overall score: 3.4

Lambda The Ultimate

Despite the old interface, this is still a great experience for all developers out there, with monthly pills of knowledge about programming languages from academic professors and computer scientists.

  • Writing quality: 3

  • Consistency: 4

  • Longevity: 4

  • Technical depth: 3

  • Broad usefulness: 2

Overall score: 3.2

Matt Might

One of the most pleasant experiences for readers interested in computer science, this blog contains thousands of articles from Matt Might, a professor in computer science. He doesn’t post very frequently, but thanks to the staggering quantity of content, this blog remains a valuable resource for all things tech-related, divided into subsections per topic of interest.

  • Writing quality: 4

  • Consistency: 2

  • Longevity: 4

  • Technical depth: 4

  • Broad usefulness: 4

Overall score: 3.2

Windows On Theory

Dedicated to discussing the theory of computation, this blog produces weekly academic-style articles.

  • Writing quality: 4

  • Consistency: 4

  • Longevity: 4

  • Technical depth: 2

  • Broad usefulness: 2

Overall score: 3.2

Gödel’s Lost Letter And P=NP

Another blog focused on the theory of computation, this site is maintained by academic professors Dick Lipton and Ken Reagan. They’ll delight you with their weekly articles introducing you to a variety of branches of computer science.

  • Writing quality: 4

  • Consistency: 4

  • Longevity: 3

  • Technical depth: 4

  • Broad usefulness: 1

Overall score: 3.2

Communications of the ACM

Dedicated to all aspects of computer science from AI to security to performance and even theory, new articles are published weekly for readers of all backgrounds and interests.

  • Writing quality: 4

  • Consistency: 4

  • Longevity: 3

  • Technical depth: 2

  • Broad usefulness: 3

Overall score: 3.2

Hackernoon

Hackernoon

Producing new content daily regarding everything in tech, Hackernoon boasts a huge archive thanks to the contribution of their great community. Articles are constantly updated and well edited, discussing any computer science topic you can think of.

  • Writing quality: 3

  • Consistency: 4

  • Longevity: 4

  • Technical depth: 2

  • Broad usefulness: 3

Overall score: 3.2

How to build a content engine.

Computer Science Teacher

This is the personal blog of educator Alfred Thompson, and a great resource for other computer science teachers. Thompson’s weekly articles provide useful lessons on computer science, as well as cool programming challenges.

  • Writing quality: 4

  • Consistency: 4

  • Longevity: 4

  • Technical depth: 2

  • Broad usefulness: 3

Overall score: 3

Conclusion

The computer science field continues expanding rapidly, with new technologies, methodologies, and applications emerging constantly. Following these 30 carefully selected blogs ensures you stay current with both foundational principles and cutting-edge developments across all computer science disciplines.

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If you’ve enjoyed this, don’t miss our other Best Technical Blogs lists:

Frequently Asked Questions

What makes a computer science blog worth following in 2026?

The best computer science blogs combine technical accuracy with clear explanations, maintain regular publishing schedules, and cover both fundamental concepts and emerging trends. Look for blogs that provide practical examples, code implementations, and real-world applications of theoretical concepts.

Should computer science students focus on academic or industry blogs?

Both types serve different purposes. Academic blogs like Freedom to Tinker or Computational Complexity provide theoretical foundations and research insights, while industry blogs like DigitalOcean or FreeCodeCamp offer practical implementation guidance. A balanced approach helps bridge theory and practice effectively.

How do I choose blogs that match my computer science specialization?

Consider your specific interests: follow AI-focused blogs like Google AI Blog for machine learning, networking blogs like Cisco Blog for systems work, algorithm-focused resources like LeetCode for interview preparation, or general resources like DigitalOcean for broad coverage. Start general, then specialize based on your career goals.

Are older computer science blog posts still relevant?

Fundamental concepts in algorithms, data structures, and computational theory remain relevant regardless of publication date. However, posts about specific technologies, frameworks, or tools may become outdated quickly. Focus on blogs that balance timeless principles with current applications.

What is the difference between educational platforms and computer science blogs?

Educational platforms like Khan Academy provide structured learning paths with interactive exercises, while blogs offer more flexible, article-based learning. Blogs excel at providing current insights, expert perspectives, and real-world applications, while educational platforms focus on systematic skill building and comprehensive topic coverage.

How has AI changed computer science learning resources in 2026?

AI coding assistants have shifted how developers seek help, with platforms like Stack Overflow seeing reduced question volume as developers use ChatGPT and GitHub Copilot for quick answers. This makes structured learning resources like NeetCode and LeetCode more valuable for building foundational skills and pattern recognition that AI tools cannot replace.

About the Author

Piero Borrelli

Software developer for the Wi-Fi industry. Burning keyboards with JavaScript code. Talking about the ups and downs of the developer’s life.

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