A practical workflow for LLM-assisted development
Summary
The article shares a practical workflow for using LLMs in development, emphasizing the need to plan, scaffold, and constrain the model's output. It compares agentic loops to genetic algorithms, outlines what to delegate to LLMs, discusses risks of context drift, and recommends tactics like planning, diagrams, tests-as-contracts, and Git safety nets to keep projects on track.