kyle-anderson-engineer.hashnode.devWhy You Should Stop Prompting (And Start Scaffolding)For the last year, developers have been obsessed with building the "perfect prompt." A 5,000-word instruction manual passed to the LLM on every single request. This is brittle, expensive, and fundam2d ago·2 min read
kyle-anderson-engineer.hashnode.devSecurity and Privacy in the Age of AI AgentsWhen your application was just a static React frontend talking to a REST API, security was relatively straightforward: validate inputs, use JWTs, and sanitize SQL. Now, you have autonomous AI Agents e2d ago·2 min read
kyle-anderson-engineer.hashnode.devBuilding AI Products that Users Actually Want (The AI Feature Fallacy)There is a trap that 90% of technical founders fall into: The AI Feature Fallacy. It goes like this: You find a really cool new AI capability (like instantaneous speech-to-speech translation). You imm3d ago·2 min read
kyle-anderson-engineer.hashnode.devWhen to Build vs. Buy AI Infrastructure in 2026In 2024, if you wanted to build an AI product, you essentially had to buy the infrastructure. You used OpenAI for the LLM, Pinecone for the vector DB, and LangChain to hold it together.\n\nIn 2026, th4d ago·2 min read
kyle-anderson-engineer.hashnode.devBuilding Search That Doesn't Suck (Vector + Keyword)If you replaced your application's standard keyword search with a pure Vector Search (Embeddings) over the last year, your users are probably frustrated. \n\nVector search is incredible for conceptual5d ago·1 min read