Code is Cheap, Accuracy is Luxury: Why I Refused to Use LLMs for a 38,000 Ticker Engine

Code is Cheap, Accuracy is Luxury

There is a thread on Hacker News right now titled "What should we do when code is cheap?". The sentiment is clear: LLMs have turned syntax into a commodity.

At the same time, another dev is asking if his $48,000 GPU server was worth the investment.

We are living in an era of "Agentic Overkill." Everyone is burning tokens and capital to generate massive amounts of "vibe-based" code. But when you are building a financial engine designed to project a user's life savings over 30 years, cheap code is a liability.

I recently shipped

Are we over-relying on probabilistic models for deterministic problems? Let’s fight it out in the comments.