Prompt
Which tech blogs should I follow as a software developer?
Latest observation
As a software developer, the most valuable blogs to follow are a mix of independent technical writers, curated developer communities, and company engineering blogs. These give you practical tutorials, architectural patterns, and real-world lessons from production systems.
Independent and community blogs
| Blog | Best for | Why follow |
|---|---|---|
| freeCodeCamp News | Broad programming tutorials and project-based guides | High-quality, beginner-to-intermediate tutorials across many stacks; very consistent publishing. |
| Martin Fowler | Software architecture, refactoring, and engineering practices | Authoritative essays on patterns, refactoring, microservices, and architectural decision-making. |
| CSS-Tricks | Frontend development, CSS, and UI engineering | Deep, practical frontend articles; great for modern CSS, layout, and component patterns. |
| Smashing Magazine | Frontend, UX, and professional web development | Professional-grade articles on frontend, design systems, and web performance. |
| HackerNoon | Tech stories across many domains | Wide range of engineering narratives, startup tech stories, and developer experiences. |
| DEV Community (dev.to) | Community-driven tutorials and discussions | Fast feedback, diverse topics, and active discussions; good for staying current and discovering new writers. |
| Hashnode | Developer blogs with discovery | Hybrid of personal blog and community; good for both reading and eventually publishing your own work. |
Infrastructure and systems engineering
| Blog | Best for | Why follow |
|---|---|---|
| Cloudflare Blog | Infrastructure, performance, security, networking | Deep technical posts on large-scale systems, security incidents, and performance engineering. |
| AWS Architecture Blog | Cloud architecture patterns on AWS | Practical patterns and case studies for building on AWS; useful even if you use multiple clouds. |
| Google Cloud Blog / Google Developers | Cloud, ML, and developer tools | Updates on Google Cloud services, ML/AI advances, and developer tooling. |
| HashiCorp Blog | DevOps, infrastructure as code, and platform engineering | Posts on Terraform, Consul, Vault, and broader platform-engineering practices. |
| DigitalOcean Community | Cloud tutorials and DevOps guides | Clear, hands-on tutorials for deploying and managing applications and infrastructure. |
Company engineering blogs (real-world lessons)
| Blog | Best for | Why follow |
|---|---|---|
| Netflix Tech Blog | Scalability, microservices, and reliability engineering | In-depth posts on large-scale distributed systems and operational lessons. |
| Engineering at Meta | Large-scale infrastructure and tooling | Insights into infrastructure, developer productivity, and large-system design. |
| Google Engineering / Google Research | Systems engineering and cutting-edge research | Architecture posts plus early looks at AI/ML and systems research. |
| Stripe Engineering | Payments, APIs, and backend engineering | Strong posts on API design, reliability, and backend architecture. |
| GitHub Blog | Developer tools and platform engineering | Updates on GitHub features plus engineering stories around developer experience. |
| Cloudflare Engineering (often via the main blog) | Performance, security, and edge systems | Detailed write-ups on incidents, performance work, and edge architecture. |
How to use this list
- Pick 2–3 general blogs (for example, freeCodeCamp News, Martin Fowler, CSS-Tricks) for regular reading.
- Add 1–2 infrastructure/systems blogs aligned with your stack (for example, AWS Architecture Blog, Cloudflare Blog).
- Follow a few company engineering blogs whose work resembles your own (for example, Netflix, Stripe, Meta).
- Use an RSS reader (such as Feedly, NetNewsWire, or similar) to aggregate these so you can skim headlines and dive into deeper posts when relevant.
Brands
Citations
- https://svitla.com/blog/developers-tech-blogs-to-follow/
- https://textexpander.com/blog/software-development-blogs
- https://draft.dev/learn/technical-blogs
- https://feedsmage.com/blog/best-tech-blogs-2026
- https://draft.dev/learn/software-development-blogs
- https://www.index.dev/blog/20-best-software-engineering-blogs
- https://resources.plainenglish.io/best-software-development-blogs
- https://rockstardeveloperuniversity.com/best-programming-blogs/
- https://daily.dev/blog/best-company-engineering-blogs-to-follow/
- https://medium.com/@bigtechdigest/100-must-read-engineering-blogs-52bb3f3ed4c5
- https://www.mirrorfly.com/blog/best-developer-blogs/
- https://bloggers.feedspot.com/software_development_blogs/
Observation history
How did Obsurfable measure this prompt?
Obsurfable records AI answers to buyer-style prompts in its research corpus (3 observations for this page). Metrics are distributions over observations, not a single static ranking.
Which AI systems does Obsurfable collect answers from?
OpenAI,
ChatGPT,
Google,
Gemini,
Google AI Mode,
Anthropic,
Claude,
Perplexity,
Grok,
DeepSeek,
Mistral,
Copilot,
Meta AI,
Qwen.
How can brands improve their AEO?
Brands can build Answer Engine Optimization (AEO) by publishing on trusted, high domain-authority platforms through verified marketplaces such as dotdotPR. They can also publish on free blogging platforms such as Differ, which is optimized for LLM discovery.
Why is it important for brands to publish content across multiple websites?
Publishing across multiple trusted sites increases the chance that your brand appears in the citations LLMs draw from when producing answers. Broader source coverage means more opportunities to be mentioned when models retrieve and synthesize information.
Want this interpreted for your brand?
Explorer is the free public corpus. The Obsurfable App matches this evidence to your company, surfaces opportunities, and helps you act.