Dan Luu’s site is a personal technical blog that collects essays and notes on software engineering, computer systems, and the technology industry. Rather than covering daily news, it publishes long-form pieces that examine common assumptions with data, experiments, and careful argument, often drawing on the author’s experience at large tech companies.
The core content includes analyses of software performance and web bloat, critiques of AI benchmarks and agent evaluation methods, and discussions of engineering culture and management. Recurring themes include why software is slow, how benchmarks mislead, and how organizations make technical decisions. Many posts include raw measurements, links to sources, and follow-up discussions.
Readers who benefit most are software engineers, systems researchers, and technically minded people who want deeper context on industry claims. It is also useful for those evaluating AI coding agents or benchmark results, since several posts compare evaluation methods and prediction track records.
Because posts are long and published irregularly, the best approach is to browse the archive by topic rather than expect a steady feed. The site is plain and text-focused, with no paywall on the main essays; some content is supported through Patreon. Overall, it is a reference for skeptical, evidence-based technology writing.
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