Articles by Grizzly Peak Software

Last month I tried to feed an entire microservices architecture spec into GPT-4. The spec was about 38,000 tokens — not even that big by enterprise...

It was 11 PM on a Tuesday, and I was in the middle of a productive Claude Code session — refactoring the job board on Grizzly Peak Software — when...

Last month I shipped three digital products on Gumroad in a single weekend. Not garbage products — actual useful things that people are buying. A prompt...

I'll admit it — I have a model loyalty problem. For the past year, I've defaulted to Claude for nearly everything. Writing articles, debugging code...

Last Tuesday at 11 PM, I had an idea for a small tool — a dashboard that pulls job posting stats from my Grizzly Peak Software job board and shows hiring...

The idea started as a joke.

I have a problem. Every time I get an idea for a tool I think is interesting, I want to build it immediately. Not plan it. Not validate it extensively....

Let me start with the take that will probably annoy people: GitHub Copilot is going to dominate enterprise development by mid-2026, and if you're building...

I'm writing this from a cabin in Alaska.

Let me tell you about a project that went from idea to 8,000+ Google-indexed pages in under a month — running on a $5 server, built by one engineer...

There's a narrative in tech that experience is a liability. That the industry belongs to 25-year-olds grinding 80-hour weeks on energy drinks and novelty....

In this insightful article, we delve into the innovative journey of developing a state-of-the-art financial advisor chatbot, powered by the synergy of Retrieval-Augmented Generation (RAG) and OpenAI's GPT-4.

This article is about my experience creating an MVP for Stormynight.ai, an AI-based application that aims to eradicate writer's block from the face of the Earth. It talks about how the GPT-3 API helped relieve the problem. It also goes into detail about how this led to the idea of StormyNight.ai, an AI program that creates story ideas.

Some ideas about how microservices could be used to compliment and be a part of an AI neural network.