The Wardrobe project, recently gaining traction on GitHub, presents an innovative approach to clothing organization using AI—specifically, image processing facilitated by GPT technology. Developed by a team known as tandpfun, this project has garnered over 853 stars, suggesting a growing interest in AI applications for personal wardrobe management. As the fashion tech sector expands, this tool ...
Not "should we use AI?" — everyone's past that. The question I get hired to answer is narrower and harder: what, specifically, is worth automating, and will it save more than it costs to build and run?
I build these systems for a living. I've shipped AI automation into production for small companies across a few stacks — customer...
The chatbot from earlier in this series can answer questions, but ask it "how many orders did we ship yesterday?" and it will confidently make something up. It has no hands — it can't query your database, call your services, or do anything except generate text.
Tool calling fixes that. You describe functions to the model; when a u...
Adding tracing to an AI agent changes more than the debugging experience. It also creates a new data path.
A trace can contain user messages, system instructions, retrieved documents, tool arguments, tool results, model output, identifiers, and internal business logic. Sending that trace to an external service may therefore be equivalent to sending the underlying application data.
...This spring I interviewed with a company whose product I genuinely respect — an internet-intelligence platform built on DNS data, the kind of quiet infrastructure that keeps the modern web navigable. The role was Senior Distributed Systems Engineer. The mission: help rewrite a core product from C into Rust and Go.
I have lived this exact migration before. I was the Senior Release Manage...