How AI Automation Saves Startups 20+ Hours Per Week
Most startup teams waste hours on repetitive tasks that AI can handle. Here's how to identify, prioritize, and automate them without building a data science team.
Thoughts on building systems, AI automation, and the technical side of running a startup.
Most startup teams waste hours on repetitive tasks that AI can handle. Here's how to identify, prioritize, and automate them without building a data science team.
Everyone is vibecoding now. AI writes your code, you ship in hours. But most vibecoded projects die within weeks. Here's how to make it actually work.
You don't need a dedicated DevOps engineer to deploy reliably. Here's a practical CI/CD setup for small teams using GitHub Actions, Docker, and zero-downtime deploys.
Cross-Site Request Forgery is one of the most common web vulnerabilities, and most AI-generated code doesn't protect against it. Here's how it works and how to fix it.
Your AI coding assistant isn't getting dumber. You're overloading its context window. Here's how context management determines whether AI-assisted development works or fails.
Choosing your tech stack is one of the first decisions you'll make, and one of the most overanalyzed. Here's a practical framework for founders building alone.
Retrieval-Augmented Generation is easy to demo and hard to ship. Here's what actually matters when you take a RAG system from 'it works on my laptop' to production.
Weaviate is one of the best open-source vector databases for production RAG systems. Here's how to set it up, structure your data, and avoid the common mistakes.