AI-assisted workflows, agentic coding, and the messy reality of shipping software with LLMs. What works, what doesn’t, and what people get wrong.
Four months ago I asked ChatGPT a dumb question while walking my dog. It told me building a programming language wasn’t that hard. So I built one — a compiled language with explicit error handling, generics, structured concurrency, and a garbage collector. Here’s what happened.
What happens when you give an AI coding agent memory that persists across tasks? It stops repeating the same mistakes. Here’s how lgtm and snap use persistent findings, shared context, and self-recovery to close the loop from planning to merged PR.
A refined, step-by-step process for managing larger projects with LLM codegen workflows—response to Harper Reed’s blog post.
