Prompt
Top programming blogs for developers
Latest observation
Here are some of the best programming blogs developers commonly follow, grouped by style:
General software engineering
- Dev.to — community-driven posts on many languages and frameworks.
- Martin Fowler — excellent for architecture, refactoring, and engineering practices.
- Joel on Software — classic posts on product development and software management.
- The Pragmatic Engineer — strong focus on engineering culture, systems, and career topics.
Language-specific / technical depth
- PyBlog / Python.org Blog — Python ecosystem updates and best practices.
- JavaScript Weekly — curated news and articles for JavaScript developers.
- Real Python — practical Python tutorials and articles.
- HackerNoon — broad technical articles across languages and topics.
Systems / performance / low-level
- High Scalability — architecture and scaling case studies.
- The Morning Paper — research summaries with strong systems content.
- Netflix TechBlog — engineering at scale, distributed systems, and reliability.
- Cloudflare Blog — performance, security, networking, and infrastructure.
Functional / academic / theory-oriented
- Lambda the Ultimate — language design and programming theory.
- Oleg Kiselyov’s blog — advanced functional programming topics.
- ACM Queue — high-quality engineering and CS articles.
Staying current
- HN (Hacker News) — not a blog, but a great source for discovering strong technical writing.
- Stack Overflow Blog — community and platform updates, plus engineering insights.
- GitHub Blog — developer tools, open source, and platform features.
If you want, I can also give:
- the best blogs by language (Python, JavaScript, Java, Go, Rust), or
- a short “must-read top 10” list for busy developers.
Observation history
How did Obsurfable measure this prompt?
Obsurfable records AI answers to buyer-style prompts in its research corpus (5 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.