I build tools that eliminate incidental complexity.
Most of my work lives at the boundary between software engineering, developer experience, and internal tooling: replacing recurring engineering pain with boring, repeatable systems that shorten feedback loops, reduce uncertainty, and make the right thing the easy thing.
Sometimes that looks like backend services. Sometimes it's Kubernetes platforms, deployment pipelines, AI-assisted workflows, internal developer tools, or a pile of tiny utilities. The technologies change; the goal rarely does.
A source-backed career knowledge system that treats resumes, interview preparation, and hiring artifacts as projections of a richer body of evidence instead of hand-edited documents.
A cross-platform desktop timer written in Go and Gio, inspired by the workflow I've depended on for years.
These are ideas I keep rediscovering:
- Reduce uncertainty with experiments.
- Fast feedback loops beat heroic effort.
- Production is where the learning starts.
- Build systems that make the right thing the easy thing.
- Eliminate incidental complexity instead of documenting it.
- The computer is an outboard brain. Refactor it accordingly.
Over the years I've built backend systems, internal developer platforms, deployment tooling, ChatOps systems, Kubernetes infrastructure, AI-assisted workflows, and more small utilities than I can count.
A few stops along the way:
- Platform One / Big Bang
- Rebellion Defense
- CrowdStrike
- Gremlin
I also wrote Build Chatbot Interactions for Pragmatic Bookshelf because I've always been interested in helping engineers build better tools for themselves.
Most of my public repositories are experiments, utilities, or ideas that escaped into the real world because I got tired of solving the same problem twice.
Don't expect a polished showcase. Expect experiments, tools, prototypes, and evidence of how I think.
- Blog: https://dpritchett.net
- LinkedIn: https://linkedin.com/in/danielpritchett
- Hacker News: https://news.ycombinator.com/user?id=dpritchett