This is part 3 of a series on building MetaBulkify, a Shopify app for bulk editing metaobjects via CSV. Part 1: Excel data corruption and GID/handle resolution Part 2: Shopify platform traps (scopes, throttling, dev store billing) This post is about two things: how I build software as a solo developer with AI, and how I designed pricing to let users try the app properly before committing. I have a
I recently shipped MetaBulkify, a Shopify app for bulk editing metaobjects via CSV. (Part 1 covers the metaobject-specific challenges.) The metaobject stuff was hard, but the Shopify platform stuff was harder. Here are three traps that aren't obvious from the docs. Week 1 of development. Nothing works. metaobjectDefinitions query returns an empty array. No error message. Just... nothing. The probl
When you have 5 unrelated questions, should you pack them into one message to the LLM, or send 5 requests simultaneously? Which is faster? Splitting into multiple independent parallel requests is almost always faster. This isn't a gut feeling — it's determined by the underlying inference mechanism of LLMs. Let's walk through the reasoning from first principles. To understand this problem, you firs