A short guide to organizing FastAPI apps beyond a single main.py file. FastAPI makes it easy to start with a single main.py file. That is great for demos, prototypes, and small APIs. But once your application grows, one file can quickly turn into a mix of routes, database logic, security helpers, settings, and business rules. A clear project structure helps keep the app easier to understand, test,
Have you ever spent 20 minutes looking for a conversation you had with Cursor last week? The one where it helped you fix a tricky async bug—and now you're facing the same issue in a different project, but can't find that thread anywhere? This isn't a user error. It's a structural limitation in how Cursor handles session history. Cursor includes a built-in conversation history panel. You can browse
What is FastAPI? As the name suggests, FastAPI is a modern Python framework designed for building RESTful APIs with high performance and minimal boilerplate. In 2026, it has become the industry standard because it’s exceptionally fast, reliable, and includes powerful out of the box features — such as automatic interactive documentation and native support for asynchronous programming. These comma
llms.txt is a small text file on a documentation site—usually lists what the product is and links to the important Markdown pages. For coding agents, treat it as the canonical URL to open first when upstream behavior is unclear. This post is mostly setup and workflow, not theory. Location Put this there Official doc server https://example.com/llms.txt (maintained by the library/vendor) Y
This post was created with AI assistance and reviewed for accuracy before publishing. Cursor can use project rules and documentation to steer behavior. Exact file names and mechanisms evolve; check Cursor documentation for the current layout (for example rules in .cursor or legacy .cursorrules patterns). Short, enforceable bullets beat long essays: stack versions, test commands, “no new dependenci
"Write a function to fetch the list of users." — same prompt, same codebase. Yesterday: getUsers(). Today: fetchUserList(). Tomorrow: loadAllUsers(). Six months of AI-assisted coding and I kept hitting this wall. My initial reaction was "maybe I need to write better prompts." I wrote better prompts. The functions got slightly better. New inconsistencies appeared elsewhere. The problem wasn't the A