Amos Wenger, known online as 'fasterthanlime', is a Swiss software engineer, open-source author, and technical educator based in Lyon, France. Through their blog, newsletter, videos, and the Self-Directed Research Podcast (co-hosted with James Munns), Amos has become one of the most beloved voices in the Rust programming community - known for long-form, deeply exploratory articles that make the inner workings of computers approachable and fascinating. Founder of the open-source organization bearcove, Amos builds real tools like fluke (HTTP/2 over io_uring), facet (Rust reflection), and rc-zip while funding this work through sponsorships and content creation.
Charlie Guo is a Stanford and YC alum who turned a personal obsession with AI into a 23,000-subscriber newsletter and a Developer Experience role at OpenAI. Through Artificial Ignorance at ignorance.ai, he writes at the intersection of software engineering and artificial intelligence - cutting through hype to deliver practical, hands-on insights for builders. He has co-founded multiple startups (ClassOwl, FanHero, Crowdmade), published a book of startup interviews called Unscalable, and created a widely-used Python library for Gmail with 1.8k GitHub stars - all while teaching himself AI engineering through relentless experimentation.
Chip Huyen is a Vietnamese-American computer scientist, author, and educator who turned a rejection letter from Stanford into a three-year around-the-world journey, two bestselling Vietnamese travel books, and eventually a second application that got her in. She went on to teach at Stanford, build ML infrastructure at NVIDIA and Netflix, co-found Claypot AI, and write two of the most-read technical books on machine learning systems in production - 'Designing Machine Learning Systems' (2022) and 'AI Engineering' (2025). Her newsletter and blog are required reading for anyone building serious AI products.
Cindy Sridharan is a distributed systems engineer, O'Reilly author, and influential technical writer based in San Francisco. Known online as @copyconstruct, she wrote the seminal O'Reilly book 'Distributed Systems Observability' and runs the Systems Distributed newsletter on Substack. She is widely respected for her long-form thinking on observability, testing in production, microservices architecture, and engineering culture. She spent years as an engineer at imgix, led the Prometheus user group in San Francisco, and has spoken at major industry conferences including QCon and GOTO. Her Medium essays on monitoring, testing, and systems thinking have shaped how a generation of engineers thinks about building resilient software.
Michael Lynch is a bootstrapped solo founder who quit Google after seven years to build software and hardware businesses entirely on his own terms. He grew TinyPilot - a KVM-over-IP device built from a $100 Raspberry Pi kit - into a $1M/year business and sold it in 2024 for ~$600K. He writes with radical transparency about money, failure, and the craft of independent software development at mtlynch.io, and is now writing 'Refactoring English', a book on writing for software engineers.
Thorsten Ball is a German software engineer, author, and technical educator best known for his self-published books 'Writing an Interpreter in Go' and 'Writing a Compiler in Go', which have become go-to resources for developers wanting to understand programming language internals. With over two decades of professional software development experience, he currently works at Sourcegraph on Amp, an AI-powered coding agent. He also writes the weekly newsletter 'Register Spill', covering systems programming, developer tools, and the intersection of AI with software engineering.
Vicki Boykis is a founding ML engineer and one of the most respected voices in applied machine learning. Known for making complex systems legible through rigorous writing and dry wit, she runs the Normcore Tech newsletter, authored a widely-cited deep dive on embeddings, built Viberary (a semantic book recommendation engine), and created Normconf - an unconventional data conference celebrating the unglamorous realities of ML work. She brings an economist's skepticism and a software engineer's discipline to a field that often confuses hype for progress.