Ben Cherry
Ben Cherry is a software engineer based in San Francisco, best known for his writing on JavaScript performance and core language concepts. He shares practical insights from startup and large-scale engineering experience.
Ben Cherry is a software engineer based in San Francisco, best known for his writing on JavaScript performance and core language concepts. He shares practical insights from startup and large-scale engineering experience.
Steven Giesel is a Senior Software Engineer and Microsoft MVP with over 13 years of experience, specializing in .NET and modern backend development. He shares deep technical knowledge across topics such as C#, EF Core, RavenDB, distributed systems, and cloud-native architectures, and is an active speaker in the .NET community.
Thomas Levesque is a French software developer and long-time .NET expert with 20 years of experience, specializing in C#, ASP.NET Core, and open-source development. He is a core maintainer of FakeItEasy and a former Microsoft MVP.
Muhammad Rehan Saeed is a software developer at Microsoft, open-source contributor, and former Microsoft MVP, specializing in C#, .NET, and sharing real-world development experience through live streaming and community engagement.
Matt Warren is a software developer and writer focused on deep technical analysis of the .NET runtime, C# internals, performance, and low-level runtime behavior.
Ed Charbeneau is a Microsoft MVP and Developer Advocate specializing in web development, .NET, JavaScript, UX design, and developer community building through speaking, writing, and advocacy.
Chris Sainty — Software engineer, author, and open-source contributor focused on C# and .NET web development, best known for Blazor libraries, writing, and community education.
Mark Seemann — Independent software architect and author based in Copenhagen, known for clear thinking on software design, dependency injection, testing, and architecture through his ploeh blog and books.
Tom Ray — NestJS advocate and educator who helps developers transition into backend and full-stack development through practical, project-driven learning.
Samuel Fajreldines is a full-stack and AI expert specializing in JavaScript, TypeScript, Node.js, React, Angular, Vue.js, DevOps, serverless architectures, and PHP frameworks. He writes about AI-driven solutions, scalable web architectures, and advanced development practices.
Steve Sanderson is a Microsoft engineer working on ASP.NET since 2010, creator of Knockout.js, author of ASP.NET books, and a frequent conference speaker focused on making web platforms delightful for JavaScript developers.
Seth Vargo is a software engineer and writer focused on Go, developer experience, security, and cloud infrastructure, sharing practical insights from building and operating large-scale systems.
Liran Tal is an AI security researcher and Node.js security expert focusing on securing agentic AI workflows, MCP, and software supply chains through research, education, and open-source work.
Jacob Tomlinson writes about Python, open-source development, GitHub Actions, automation, and best practices for software maintenance.
James Smith builds open-source web apps for 3D modeling and printing, focusing on Manyfold—a self-hosted, federated platform for managing 3D models efficiently.
Rishabh Rawat is a backend engineer exploring Node.js, AWS, and communication protocols. Former Google Summer of Code student at PublicLab, he shares insights and projects on his Next.js blog.
Andrew Magill is a web engineer specializing in building custom websites and applications, showcasing real-world projects and seeking new challenges and opportunities.
Thorben Janssen shares 15+ years of hands-on experience with Hibernate and JPA through practical blog posts, training, and his bestselling book Hibernate Tips.
Josh Goldberg is an open-source maintainer in the TypeScript ecosystem, best known for his work on typescript-eslint, and an author, speaker, and Microsoft MVP dedicated to improving modern web development.
Sebastian Raschka, PhD, is an LLM Research Engineer and AI expert bridging academia and industry, specializing in large language models, high-performance AI systems, and practical, code-driven machine learning.