Flowgenix

Flowgenix is a Cursor and VS Code extension for NestJS backends. It adds a CodeLens on each HTTP handler (controllers) and each public method (services). One click builds a structured prompt for your AI assistant: Jest tests, Markdown documentation, and a Mermaid flow diagram—scoped to that single route or method, not the whole file.

Why it exists

Nest projects accumulate controllers and services fast. Writing and maintaining tests, docs, and diagrams for every endpoint and service method is repetitive, easy to defer, and often drifts out of sync with the code. Generic “generate tests for this file” prompts are noisy: they lack route context, DI hints, and a clear boundary, so models hallucinate or overwrite good work.

Flowgenix is built for the case where you already use AI in the editor but want repeatable, scoped output that matches how Nest is structured (decorators, modules, providers).

How it helps

• Per-target focus — Each lens targets one handler or one service method. Prompts include scoped context (routes, dependencies, DTO-style hints when the TypeScript AST can resolve them) so the model stays on that unit of behavior.

• Predictable output shape — Prompts ask for fixed sections (### TEST, ### DOCS, ### DIAGRAM) so answers are easier to skim, compare, and parse into your repo.

• Fits real workflows — You can send the prompt through chat, clipboard, or (where supported) vscode.lm. After you get a reply, a save artifacts command can write Markdown under configurable folders (e.g. docs/, flow/) and merge generated tests into the existing *.spec.ts beside the source when one already exists—so you iterate instead of replacing wholesale.

• Works where you already code — Same extension host as your Nest repo; no separate doc tool or diagram editor required for the initial pass.

In short: less boilerplate thinking, clearer prompts, and artifacts that land in your tree in a way that matches how teams actually maintain Nest services over time.

Reviews & stars

If Flowgenix saves you time, a quick rating or review on the registry helps others find it, and a star on GitHub helps signal that the project is useful.

• Open VSX (Cursor / many VS Code–based editors): Flowgenix — rate & review
• GitHub: Star the repository