Thoughts, Tips & Insights
Expert guides on MVP development, AI integration, tech stacks, and scaling startups from idea to launch.
The RDS line is the one nobody wants to touch, so teams leave it alone or downsize it blind. Split it first: instance, storage, IOPS, backups, support fees. Each part points to a different cause, and most causes live in your code, not in the instance class. Read more
Every SaaS has an AI backlog now, and most of it was ranked by how good the demo looked. Score each idea on five lines instead: how often the job happens, whether the data is ready, whether a right answer can be checked, what a wrong one costs, and which number it moves. Read more
The key in your front end is public by design. What protects your data is row-level security, and an AI-built app may not have it. Eight checks for tonight, starting with the curl an attacker would run. Read more
Headless commerce won't make your AI smarter. What it changes is who can reach your data and your rules. If the AI you want already lives inside your platform, stay. If it needs your own data across several systems, the platform becomes the limit. Read more
Agents don't make APIs obsolete. They make them the part of your product that matters most. The model decides what to do; your API decides what's allowed and does it. Where MCP fits, what to expose first, and seven checks before an agent calls you. Read more
Twenty-five yes-or-no questions about your repo, logins, data, payments, secrets and error tracking. Most need a dashboard, not a terminal. Thirty minutes and one score tell you whether you need help. Read more
Before you pay $500 for an audit, you should see what comes back. Here's a sample built from a real AI-built codebase, details changed: six findings with severity, a keep, fix or replace verdict for each, and a plan with one fixed price per phase. Read more
Most RAG projects start with a folder of documents, not a user problem. Before you build an index, answer four questions: is the answer in your documents, does the text fit in the prompt, who may see what, and is finding the source really the hard part. Read more
You don't need to read every file of a vibe-coded SaaS to know how it was built. Eleven greps, about thirty minutes: six show how the project was run, five find damage that breaks production or leaks data. Commands included. Read more
Irresistible Bot took one month and $5,000. That budget doesn't buy an AI strategy. It buys one job done well. Here's the four-part test for which jobs fit in 30 days, and what we'd tell you not to build at that price. Read more
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