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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
At 2:17 AM, my monitoring alert yanked me out of sleep: the customer service bot had suddenly lost its memory. Users were asking “Where is my order?” three times in a row, and it kept asking for their phone number as if they were complete strangers. I opened the logs and saw that ConversationBufferMemory was loading empty message lists. The key was still there in Redis, but somehow deserialization
Ever had users sign up with [email protected] or [email protected]? Disposable email addresses are a headache for any app that relies on real user contact. I built burner-bouncer to solve this — a zero-dependency libra
We’ve all been there: you get your blood test results back, see a bunch of numbers in bold with "High" or "Low" next to them, and immediately spiral into a WebMD rabbit hole. 😵💫 What if instead of panic-searching, you had a team of digital experts—a Medical Researcher, a Certified Nutritionist, and a Data Analyst—working together to turn those raw pixels into a personalized health roadmap? In t
Hello Developers! 👋 The tech landscape is shifting faster than ever. What worked in 2023 is already considered legacy, and the way we build software has fundamentally changed. If you want to stay ahead of the curve, build faster, and ship high-converting applications, you need to adapt. Here is a breakdown of the exact trends dominating software engineering in 2026 and how you can implement them
Background I did some research online and found a nice course that teach how to build LLM from scratch. The course is shared public online and all the assignment resources are here: https://cs336.stanford.edu/. In the following series, I will put the summary and notes starting from lession 1. Tokenization is at the very beginning of the LLM. There were many different tokenization algorithm, suc