AI Code Guardrails: Why Speed Without Safety Breaks Production
AI generates 41% of all code today, but that speed comes with hidden costs. Learn why guardrails are essential and how to implement them before AI-generated bugs reach production.
Claude Code Keeps Breaking My Python Environment (Until I Found UV)
Claude Code and other AI tools forget to activate conda environments, waste context re-installing packages, and break your workflow - UV fixes this by …
I Don't Trust AI - I Trust Gates That Prove Code Works
Developers spent decades removing trust from software delivery. Every gate - type checking, tests, security scans - exists because 'it works on my machine' isn't good enough. AI can't fix processes that have none of that.
Escape Lovable Vendor Lock: 10-Minute Migration to Vercel
A complete guide to migrating from Lovable to Vercel in under 10 minutes, avoiding vendor lock and protecting your codebase from becoming public.
The Best AI Coding Setup I've Ever Used (For Testing Vibe-Coded Apps)
Recording AI agent interactions with Playwright and replaying them isn’t just clever—it’s the only reliable way I’ve found to test …
The Python Logging Setup I Actually Use in 2026 (And Should Be Default)
A battle-tested Python logging configuration using Rich that brings consistency across projects and solves the verbosity nightmare.
Why LLMs Keep Forgetting Things (And How Mem0 Fixes What RAG Can't)
Understanding when to use RAG, Mem0, or MCP isn’t just academic—it’s the difference between an AI that forgets yesterday’s …
The Productivity Mirage: Why AI Can't Replace Your On-Call Engineers
AI coding tools boost early productivity, but collapse under the pressure of production systems—here’s why on-call engineers are irreplaceable.
The AI Wrapper Margin Trap: Why Your SaaS Math Doesn't Add Up
Burning $250K/month on API calls while charging $24/month sounds like a unicorn story. It's actually a slow-motion train wreck. Here's why AI wrapper companies are bleeding out on unit economics.
The Fast SaaS Validation Playbook: Launch or Kill in 30 Days
Stop building for months before testing the market. Here's how to validate your SaaS idea in weeks, not quarters—using ads, proven models, and ruthless iteration.
How to Build Your Own Token Compressor for LLM Applications
A practical guide to building a custom token compressor that reduces LLM API costs by 40-60% using statistical and lexical compression techniques.
Why Chunking is Broken in RAG (And We Still Use It)
As a founder building enterprise RAG solutions, I rely on chunking daily—but it's fundamentally flawed. Here's why vector-based chunking fails at scale and what we're missing.