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Articles tagged with #supabase
I have shipped 8 vertical AI products. The fastest took 18 days. This is the technical process. What to build each week. What decisions to make early. What to delay. Code patterns that allow fast execution without technical debt.
Building a pipeline that ingests sensor data from more than 1.2 million acres, combines satellite imagery, weather feeds, and commodity markets, and produces agronomic recommendations in near real time. This is the architecture.
Running 8 multi-tenant AI products means 8 systems where one bug could expose one customer’s data to another. Here is the complete Row Level Security architecture I use to make that impossible at the database level.
The database decisions you make in week one of building a SaaS product will constrain you for years. Here are the schema patterns I refined across 8 AI products and the migrations I had to run because I got them wrong the first time.
Most AI monitoring advice focuses on model metrics. Production AI needs a complete observability stack from token costs to output quality to business impact. This is the system I built across five active AI products.
Most AI architecture content describes systems that work in demos. I want to describe systems that have been running in production for 18 months across 8 different products, handling real users and re
