We write about what we've actually built โ LLM integrations, SaaS architecture decisions, scaling patterns, and the mistakes we've seen made too many times. No opinion pieces. Just what works.
After reviewing dozens of codebases, the same patterns show up again and again. Here are the seven decisions that will haunt you at 100k users โ and what to do instead before it's too late to change them.
The most consequential architecture decision in multi-tenant SaaS is often made too early, with too little information. Here's how to think through it properly โ trade-offs, decision criteria, and when each model breaks down.
Speed and quality aren't opposites โ if you scope ruthlessly and build the right foundation. Our exact 12-week sprint framework from 20+ product launches, including what we always cut and why.
Every framework promises to solve all your problems. Here's how we actually evaluate technology choices for real products โ the decision framework we run for every engagement.
Skipping architecture planning turns 3-month projects into 9-month refactors. Here's why we spend weeks on architecture before writing any feature code โ and why every client who pushed back on this later agreed it was the right call.
AI agents fail in production for predictable reasons โ infinite loops, runaway costs, irreversible actions with no guardrails. Here's the architecture, tool design, and observability practices we use to ship reliable agentic systems.
RAG and fine-tuning solve completely different problems โ yet most teams pick the wrong one and wonder why results disappoint. Here's the decision framework we use across every AI feature we ship.
AI coding tools can ship features in hours. They can also quietly introduce security holes and technical debt that takes months to fix. We use them every day โ here's the honest picture of what works and what doesn't.
The same thinking that goes into our writing goes into every line of code we ship for clients.