Turn tech articles and blog posts into prompts for Cursor, Claude Code & any AI coding agent

Every prompt follows the same template, so your agent behaves consistently across articles. It starts by exploring your repository — the stack, conventions, folder structure and existing patterns — before it proposes anything.

Each takeaway from the article is then judged one by one and sorted into apply, adapt or skip, with a short reason for the call. Ideas that clash with your architecture, duplicate something you already do, or solve a problem your app does not have are explicitly dropped rather than shoehorned in.

The result is a plan grounded in your codebase: concrete, file-level suggestions for the lessons that genuinely fit, and an honest note on the ones that do not.