Mikhail Shilkov
Mikhail Shilkov is a software engineer and cloud infrastructure expert with deep experience in AI-assisted developer tools, Infrastructure as Code, and Pulumi.
Mikhail Shilkov is a software engineer and cloud infrastructure expert with deep experience in AI-assisted developer tools, Infrastructure as Code, and Pulumi.
Robin Moffatt is a Principal DevEx Engineer and seasoned conference speaker with 15+ years of experience presenting at top events like QCon, Devoxx, Kafka Summit, and Strata. He shares insights on developer experience, distributed systems, and cloud technologies through his blog, YouTube, and public talks.
Jeremy Howard leads Answer.AI, an AI R&D lab building practical applications from cutting-edge research. He focuses on AI, open-source tools, and educational platforms to help developers and researchers solve real-world problems efficiently.
Mitchell Hashimoto is a software developer and co-founder of HashiCorp, now working on Ghostty, a modern terminal emulator. He previously led and built major DevOps tools like Terraform, Vault, and Consul, and shares insights from engineering and aviation.
Andreas Hartig is an IT architect sharing hands-on insights on Windows Server, Azure, security baselines, and hybrid cloud architecture. His blog focuses on automation, governance, and real-world infrastructure engineering.
Neil is an IT enthusiast from Manchester who explores new technologies, home lab setups, and hands-on experiments. His blog shares practical tips and learning experiences for staying current in IT.
Adam Sitnik is a Microsoft .NET engineer specializing in performance, reliability, and open-source contributions.
Kevin Gosse is a Microsoft MVP and .NET expert specializing in performance, debugging, and memory management.
Surma writes in-depth articles on web technologies, systems programming, and developer tooling. His work explores JavaScript, Rust, WebAssembly, Nix, and workflow automation with a strong focus on understanding how things work under the hood.
Panu Oksala is a Microsoft MVP, CTO, and partner at Adafy Oy, specializing in customer-centric digital transformation, Azure and .NET development, DevOps practices, and modern software craftsmanship.
Carlos Mendible is a Principal Cloud Solution Architect at Microsoft who writes in-depth, hands-on guides about Azure, Kubernetes, Terraform, and Generative AI, focusing on real-world cloud automation and architecture.
Joseph Oseh Frank is a Python and Django developer based in Italy, specializing in building scalable web applications and APIs using Django REST Framework, modern databases, and cloud deployments.
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.
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.
Steve Gordon — Senior .NET engineer at Elastic, community speaker, and author, focused on ASP.NET Core and building high-quality .NET client libraries.
Theodore Ts’o — Linux kernel developer and technologist writing about Linux, filesystems, open source, and the broader impact of technology on society.
Jeff Geerling is a developer, author, and open-source advocate focused on Linux, Ansible, cloud infrastructure, and maker projects, widely known for his educational writing and popular YouTube channel.
Bartłomiej (Bartek) Płotka is a Senior Software Engineering Tech Lead at Google Cloud, expert in Observability, Go, Prometheus, and distributed systems, author of Efficient Go.
Mosè Giordano shares insights on Julia programming, covering performance, macros, array handling, testing, documentation, and practical package 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.