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If you've ever built a form backend or an automation workflow, I built MultiValidator to fix that. One API call. Up to 50 fields. Send a batch of fields, get back validation results for all of them: import requests payload = { "fields": [ {"type": "email", "value": "[email protected]", "field_name": "email"}, {"type": "phone", "value": "+447911123456", "field_name": "mobile"}
Table of Contents Introduction Environment Requirements Core Features Core Design and Code Analysis Actual Execution Demo Architecture Overview How You Can Expand Future Plans & Conclusion What is this It is a basic debugger, running on Linux and implemented in C++, aiming to create a debugger that is easy to read and expand. In addition, Lavender's main function is to help users analyze the logic
I started where a lot of us do: a LangChain RAG walkthrough. You chunk some text, embed it, retrieve top‑k chunks, and wire an LLM to answer questions. It clicks quickly, which is exactly why it’s easy to walk away thinking you’ve “done RAG.” What bothered me was that the demo corpus is usually tiny and artificial. I write on DEV.to about things like NLP routing and CNN image classification. If I
In July 2025, a developer's Claude Code instance hit a recursion loop and burned through 1.67 billion tokens in 5 hours, generating an estimated $16,000 to $50,000 in API charges before anyone noticed. The agent did not crash. It did not throw an error. It just kept calling tools, getting confused, calling more tools, and silently accumulating cost. Old software crashes. LLM agents spend. This is
The email arrived on a Tuesday morning: "Your cloud bill for last month: $2.4 million." The CFO's response was immediate: "That's 3x our budget. What the hell are we running?" The answer? Nothing special. Just a standard data analytics workload that happened to cross availability zones. A lot. Turns out, 80% of that bill—nearly $2 million—was data egress fees. Not compute. Not storage. Just the pr
OK, let's talk about Microsoft's new Fairwater "AI factory,” (The quotes here are doing a lot of work… do we REALLY need a new name for this? It’s so dumb). They're calling it the world's most powerful AI datacenter. Cool. Millions of GPUs. Liquid cooling. Storage stretching five football fields. Here's what they're NOT telling you: the math on utilization is going to be BRUTAL. If these chips ran