A blog.
Background Jobs Explained for Non-Technical Founders
Background jobs explained: how your SaaS sends 1,000 emails or generates a PDF report without freezing the screen — queues, retries, dead letter queues.
OLVASD EL ▸AI Agents for Non-Technical Founders: Which to Use When
AI agents for non-technical founders: explorer, planner, builder, debugger — which to use when, and the wrong-agent mistake that costs you real hours.
OLVASD EL ▸SaaS Monitoring for Solo Founders: My €9/Month Stack
SaaS monitoring for solo founders: the €9/month stack that caught a 2:47 AM production failure and had it fixed in 90 seconds — with two clicks, not code.
OLVASD EL ▸10 Tables Every SaaS Needs: The Database Blueprint
The 10 tables every SaaS needs — organizations, users, members, activity log and more — plus the copy-paste prompt that gets AI to build all of them right.
OLVASD EL ▸Never Let AI Push to GitHub (I Learned the Hard Way)
Never let AI push to GitHub: I told it to commit and push, and it published my database master key. The 4-hour cleanup, and the git rules that keep AI safe.
OLVASD EL ▸SaaS Security Checklist: 5 Checks That Prevent Disasters
The SaaS security checklist for non-technical founders: 5 checks that prevent 99% of security disasters, plus a copy-paste audit prompt that runs them all.
OLVASD EL ▸Make AI Check Its Own Work: Validation Loops Explained
Make AI check its own work with a 4-level validation loop: the pattern that cut one feature from 3 hours of debugging to 15 minutes and caught 47 bugs.
OLVASD EL ▸Every SaaS Needs These 18 Systems (You Build Only 20%)
Every SaaS needs these 18 systems: users, billing, permissions, notifications. Every SaaS is 80-90% identical — and only 10-20% is the part you should build.
OLVASD EL ▸The Lovable Trap: Why No-Code Products Fail in 6 Months
The Lovable trap, explained: AI app builders like Lovable and Bolt are incredible for demos and terrible for businesses. Why most die within six months.
OLVASD EL ▸3-Layer Architecture: How to Make AI Write Clean Code
The 3-layer architecture that stops AI from writing spaghetti: UI, business logic, and data — plus the exact prompt sequence that keeps every layer clean.
OLVASD EL ▸5 Pillars of Production Software: The AI Framework
The 5 pillars of production software: what separates code that runs from products that scale — and why AI skips every single pillar unless you insist.
OLVASD EL ▸Mistakes AI Makes in Production (And How to Stop Each)
The 10 mistakes AI makes in production code — what Claude did wrong, the correct pattern, and the exact instruction that prevents each one from recurring.
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