When AI replaced his coding job, Jack Thompson discovered that his greatest failure was actually his path to authentic success. A story about choosing meaning over money and building technology that serves human creativity.
Ever wondered how tools like LangExtract can highlight the exact location of a quote in a document? Spoiler: It's not magic—it's clever computer science.
Building a collaborative AI whiteboard taught us everything about real-time communication - from basic polling to sophisticated conflict-free data structures. Here's the complete journey.
Ever felt betrayed when your Python type hints vanish at runtime? This is the story of how to uncover the real types inside your Pydantic generics and typing constructs, with a battle-tested strategy that actually works.
Ever wondered why some apps scale effortlessly while others crumble? Discover the 12-factor methodology—the blueprint that transforms applications into infinitely scalable, platform-agnostic building blocks.
A practical two-level approach to working with AI coding assistants on complex codebases, while maintaining code quality and managing context windows effectively
Discover how pydantic-graph elegantly solves Python's forward reference problems without the trial-and-error pain of .model_rebuild(). Learn the difference between static and runtime type resolution, and why capturing parent namespaces is brilliant design.
Discover how Python's inspect.currentframe() connects to the low-level concepts you learned in operating systems class. A journey from instruction pointers to PyFrameObjects.
Discover how AI-enhanced documentation can eliminate communication bottlenecks, scale your team's coordination, and free you from being the single point of failure in technical decisions.
