Practical guides on AI, automation, and software engineering. Written by engineers who build this stuff every day.
Hallucinations aren't random bugs — they're predictable failure modes with specific fixes. Here's the production playbook we use on every AI project.
AI agents aren't magic — they're loops. Here's how to build a real one with Node.js, the OpenAI API, and a set of tools your agent can actually call.
We've shipped production apps on both. Here's an honest breakdown of when to use OpenAI vs Claude, with real performance data from our projects.
Waiting 10 seconds for a full LLM response kills UX. Streaming shows output as it generates — here's the complete implementation for Next.js App Router.
If you can describe a task in words, you can probably automate it with an LLM. Here's a practical framework for identifying which workflows are worth automating and how to build the pipeline.
OpenAI bills add up fast. These six techniques cut costs dramatically while keeping output quality high.
The App Router is powerful but easy to misuse. These are the most common mistakes we see in production Next.js codebases.
NextAuth is overkill for many apps. Here's a clean, minimal JWT authentication implementation for Next.js that you fully control.
Keyword search breaks the moment users don't know exactly what to type. Semantic search fixes that — and it's easier to add than you think. Here's the full implementation.
Retrieval-Augmented Generation (RAG) lets your LLM answer questions about your own data without fine-tuning. Here's how to build it properly — including the parts most tutorials skip.