Llm Blogs

2/1/2026 • EN

Paul's Weblog

Paul’s Weblog is a personal, tech-adjacent blog mixing software engineering insights, weeknotes, developer tips, and thoughtful cultural commentary. Short, witty posts covering tools, events, and reflections from life in tech.

software engineering developer blog tech culture

Paul's Weblog

114

2/1/2026 • EN

Addy Osmani

Addy Osmani is a senior engineering leader at Google Cloud AI, focused on AI-assisted engineering, developer tools, and scalable web performance. Author, speaker, and longtime Google engineer with 25+ years of experience shaping modern developer experiences.

software engineering leadership ai assisted engineering web performance

Addy Osmani

12

1/31/2026 • EN

Kevin Markham i

Kevin Markham is a data scientist, educator, and writer focused on practical machine learning, Python, and AI literacy. He’s best known for clear explanations of scikit-learn, pandas, and modern AI trends, helping practitioners stay effective without hype or overengineering.

Machine Learning Python AI

Kevin Markham i

12

1/31/2026 • EN

Jesse Liberty

Jesse Liberty is a veteran software developer, author, and educator focused on .NET, C#, Azure, and AI. He writes hands-on tutorials and project-driven articles exploring modern Microsoft technologies, Blazor, Azure Functions, and practical AI development.

.NET C# Azure

Jesse Liberty

11

1/31/2026 • EN

Matt Mazur

Matt Mazur is a web developer and entrepreneur with a focus on creating practical web applications and tools, including Lean Domain Search, Preceden, and A/B Test Calculator. He has experience in both web projects and online poker applications.

Web development web apps entrepreneurship

Matt Mazur

10

1/31/2026 • EN

John Langford

John Langford writes deeply analytical essays on machine learning theory, AI research, and the limits of current architectures. His work explores sample efficiency, representation, long-term memory, and how future AI systems might move beyond today’s transformer-based models.

machine learning theory artificial intelligence learning efficiency

John Langford

9

1/31/2026 • EN

Krzysztof Kowalczyk

Krzysztof Kowalczyk writes practical, experience-driven posts on software engineering, spanning Go, C++, JavaScript, and modern UI frameworks. His blog covers performance optimization, desktop and web app development, and lessons learned from building products like SumatraPDF and Edna.

software engineering go programming c++ development

Krzysztof Kowalczyk

24

1/29/2026 • EN

Daniel Miessler

Daniel Miessler is a cybersecurity and AI engineer turned founder, based in the San Francisco Bay Area. He shares insights on cybersecurity, artificial intelligence, technology, and human behavior through essays, tutorials, and technical content on his blog.

Daniel Miessler cybersecurity artificial intelligence

Daniel Miessler

95

1/29/2026 • EN

Bartosz Milewski

Bartosz Milewski is a programmer and former theoretical physicist known for bridging category theory and practical software development. He writes about Haskell, C++, concurrency, and functional programming, and is the author of Category Theory for Programmers.

Bartosz Milewski category theory functional programming

Bartosz Milewski

8

1/29/2026 • EN

Alex Gaynor

Alex Gaynor is a software resilience engineer focused on building reliable, secure systems across government, industry, and open source. He writes about software security, serialization, benchmarks, and the economics of open-source infrastructure.

Alex Gaynor software resilience system reliability

Alex Gaynor

202

1/29/2026 • EN

Chris Krycho

Chris Krycho is a software engineer, theologian, and composer who writes about technology, ethics, faith, and software design. His essays explore how digital tools can serve human flourishing, alongside reflections on engineering, creativity, and everyday life.

Chris Krycho technology and ethics software engineering

Chris Krycho

15

1/28/2026 • EN

kieran healy 

Kieran Healy is a Professor of Sociology at Duke University, specializing in social networks, data visualization, and sociological theory. He is the author of several books, including The Ordinal Society and Data Visualization.

Sociology data visualization social networks

kieran healy 

11

1/28/2026 • EN

Mark Litwintschik

Mark Litwintschik is a Big Data, AI, GIS, and networking consultant with international experience, helping clients across the UK, USA, Europe, and beyond. He specializes in large-scale data analysis, geospatial insights, and technology consulting for major corporations and organizations.

Big Data AI GIS

Mark Litwintschik

100

1/28/2026 • EN

Garrick Aden-Buie

Garrick Aden-Buie is a Software Engineer for Shiny at Posit (formerly RStudio), building tools with R, Shiny, and R Markdown to support data science workflows. He is also an educator and former data scientist with experience in health analytics and smart home research.

Shiny R development data science tools

Garrick Aden-Buie

19

1/26/2026 • EN

Emir U

SEO Short Description (2–3 lines): Emir U. is a research-focused software engineer applying mathematics, statistics, and computer science to real-world problems, with 18+ years in software and 7+ years in commercial research. A PhD candidate in astronomy with a background in applied maths and philosophy, he writes about machine learning, logic, and statistical modeling.

data science research applied statistics machine learning methods

Emir U

25

1/26/2026 • EN

Federico Viticci

Federico Viticci is the founder of MacStories, a leading Apple-focused publication covering apps, automation, AI, and in-depth tech analysis since 2009. Through MacStories, Club MacStories, and multiple podcasts, he delivers trusted insights for creative and professional Apple users worldwide.

apple news app reviews ios automation

Federico Viticci

48

1/25/2026 • EN

Neal Lathia

Neal Lathia is a machine learning practitioner and writer exploring how AI is built, evaluated, and adopted in the real world. His blog focuses on AI progress, responsible deployment, and the human impact of machine learning systems.

Artificial Intelligence Machine Learning AI Evaluation

Neal Lathia

11

1/25/2026 • EN

Ben Recht

Ben Recht is a researcher and writer exploring the history, theory, and practice of decision-making by humans and machines. On arg min, he covers optimization, machine learning, cybernetics, and occasional reflections on music and culture.

Machine Learning Optimization Decision Making

Ben Recht

26

1/25/2026 • EN

Lilian Weng

Lilian Weng is a machine learning researcher documenting deep, well-researched learning notes on large language models, reinforcement learning, and generative AI. Her blog offers clear, structured insights into model reasoning, alignment, hallucinations, and modern ML systems.

Large Language Models Machine Learning Research Reinforcement Learning

Lilian Weng

50

1/25/2026 • EN

Rui Peres

Rui Peres writes thoughtful, concise reflections on leadership, software engineering, delivery, and personal growth. His blog blends management insights, tech culture, and everyday observations with a calm, reflective tone.

Engineering Leadership Software Management Personal Growth

Rui Peres

121