Testing AI Agents Is Nothing Like Testing Regular Code
How to test LLM outputs, validate RAG retrieval quality, and verify vector search accuracy using DeepEval, Ragas, and Testcontainers. Part 2 of the AI-powered quality engineering series.
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4 posts
From Idea to Production: Building a SaaS Product with Claude, Gemini, and Agentic AI
How I designed, analyzed, implemented, and tested Kids Learn — an AI-powered educational SaaS platform — using Claude as my development partner, Gemini for AI features, Next.js, PostgreSQL, and pgvector. A complete walkthrough from napkin sketch to production.
Our First RAG System Was Terrible (Here's What We Fixed)
We built a RAG knowledge base. The first version gave wrong answers half the time. Six months of iteration later, it actually works. Here's every lesson.
I Tried Five Vector Databases. Here's What I'd Actually Use.
We tested ChromaDB, Pinecone, Weaviate, Qdrant, and pgvector for our RAG system. Benchmarks, costs, developer experience — and the one I'd pick today.
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