About
Dan Luu is an engineer, researcher, and writer based in Vancouver, Canada, renowned for his rigorous, empirical analyses of computer systems and software practices.
With a background spanning hardware architecture, distributed systems, and reliability engineering, he previously worked at Twitter and Microsoft, and served as a facilitator at the Recurse Center. He is widely respected for conducting painstaking benchmarks and investigations into real-world performance—ranging from input latency across decades of computers to CPU cache hierarchies, SSD endurance, and complex systems failure modes.
On his influential blog danluu.com, he publishes exhaustively researched essays on performance engineering, hiring practices, systems debugging, and organizational dynamics, attracting millions of readers and serving as a staple reference across university curricula and industry engineering teams.
You can also find Dan Luu on:
- Website: https://danluu.com
- Twitter: @danluu
- GitHub: danluu
Articles
- How accurate have Ed Zitron's AI skeptic predictions been?
- Bug blindness
- There's no reason for software to be slow anymore
- The benchmarkpocalypse
- How does programming language affect token efficiency and correctness?
- Bad benchmarks and evals: Senior SWE-Bench, napkin math, and winter tires
- Agentic test processes, LLM benchmarks, and other notes on agentic coding from Galapagos Island
- Steve Ballmer was an underrated CEO
- How good can you be at Codenames without knowing any words?
- A discussion of discussions on AI bias
- What the FTC got wrong in the Google antitrust investigation
- How web bloat impacts users with slow devices
- Diseconomies of scale in fraud, spam, support, and moderation
- Why it's impossible to agree on what's allowed
- Notes on Cruise's pedestrian accident
- Why do people post on [bad platform] instead of [good platform]?