Thoughts on startups, technology, and life. Insights from building companies across different industries.
Before LLMs and Cursor, I wouldn't have dreamed of diving into a massive codebase like pfSense. But with AI assistance, I solved a complex Dynamic DNS issue in under 30 minutes by directly analyzing the source code.
For years, "shifting security left" was more aspirational than practical. Now with LLMs and agentic coding, we can finally codify security best practices into every repository, catching vulnerabilities at the moment of code creation.
When transitioning from JAMF to Rippling MDM, escrowing FileVault recovery keys before shutting down JAMF is absolutely critical. Here's why I built a Go tool to automate this process and ensure no keys are lost during the migration.
Greg Isenberg interviews the VP of Cursor, who reveals the internal files and processes that make Cursor's development team so effective. From code review checklists to writing guidelines, here's what we can learn.
Throughout my career, I've had the privilege of being a part of several startups, each venturing into distinct domains, from kitchen equipment sales to Bitcoin mining solutions, cosmetics manufacturing, and software development in the security and privacy realm.
As AI agents become increasingly capable of discovering and consuming APIs autonomously, we need to rethink how we design our web services. Here's how I built an architecture specifically designed for AI discovery and consumption.
The explosion of AI-powered code generation has created a dangerous illusion: that building software has become trivially easy. But we've solved code generation while completely ignoring the operational burden that follows.