Tigran Hakobyan writes about software development, AI-enhanced engineering, and career growth in tech. His blog covers programming trends, CI/CD practices, reliability, and personal reflections on building a career while balancing life.
Landon Gray explores software development, AI, and practical programming techniques. Learn best practices in coding, Ruby, LLM-powered app modernization, and frameworks for strategic software decisions.
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.
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.
Eugene Yan is a Principal Applied Scientist at Amazon, building AI-powered recommendation systems and experiences. He shares insights on RecSys, LLMs, and applied machine learning, while mentoring and investing in ML startups.
Chip Huyen is a writer, computer scientist, and AI/ML systems expert focused on deploying machine learning in production. She is the author of bestselling books Designing Machine Learning Systems and AI Engineering, and has worked with NVIDIA, Snorkel AI, Netflix, and AI startups.
Ned Bellavance — Veteran IT professional and founder of Ned in the Cloud, creating courses, podcasts, and technical content on cloud and infrastructure.
Blog.johnfolberth.com is the technical blog of John Folberth, a cloud and DevOps engineer focused on Azure, Azure DevOps, YAML pipelines, and infrastructure as code. The site provides practical guides for people who are “figuring out DevOps in Azure”, with step by step articles on topics such as Bicep, CI/CD strategies, Azure Budgets, Key Vault automation, SQL deployment pipelines, Terraform from Azure DevOps, and Azure certifications.
