Write Boilerplate Code with AI
To generate boilerplate code with AI, name the stack and the shape you need — an Express route with validation, a Python CLI skeleton, a React form component — in @vustbot, and get the scaffold back in one message. It has no access to your repository, so paste any conventions the code must follow.
Boilerplate is the code you've written twenty times and still can't type from memory — the argparse block, the fetch wrapper with retries, the config-loading dance. Delegating the pattern and keeping the decisions is the whole trick.
What the AI does in this scenario
- Stack + shape → runnable scaffold: routes, CLI skeletons, config loaders, API clients
- Convention-matching: paste one existing file and ask it to mirror the style
- Pick the model per job — GPT-5-class, Claude, Gemini, DeepSeek in one chat
- Includes the parts you skip when tired: input validation, error paths, types
- Pay per generation in Balance — visible price, no IDE-plugin seat
Worked example: write boilerplate code with ai
01Input — what you paste
Need: Express + TypeScript POST /subscribe route — validate email with zod, return 400 with a message on bad input, 409 if already subscribed, 201 on success. Storage behind an injected store interface.
02Output — what comes back
A ~40-line route module: a zod schema (z.object({ email: z.string().email() })), the handler parsing req.body via safeParse, early-return 400 with the zod message, a store.hasSubscriber(email) check returning 409, then store.addSubscriber and a 201 — typed request/response, no storage details hardcoded.
How to write boilerplate code with ai — step by step
- 1Name the stack, the shape and the contract
Framework and language, what goes in, what comes out, which errors matter — like the worked example above. "Express route" alone gets you a tutorial; the status codes and the injected interface get you YOUR route.
- 2Paste a convention sample
The bot can't see your repo, so show it: paste one existing file and add "match this project's style — imports, error handling, naming". One real file beats any style description.
- 3Wire it in and compile
Copy the scaffold into your project and let the type-checker judge it. Import paths and project-specific types are where repo-blind code needs your hands — expect a two-minute fit-up, not zero.
AI vs doing it manually
If your framework has a generator — rails g, npm create, a cookiecutter your team maintains — use it; deterministic scaffolds beat generated ones for the structures they cover. AI earns its keep in the gaps between generators: the specific route with your validation rules, the client for an API nobody wrapped, boilerplate in a stack you touch twice a year. The trap to avoid is over-asking: request a focused scaffold you'll read in full, not a "complete app" you'll paste unread — boilerplate you didn't read is technical debt on day one.
The prompt to copy
Generate [LANGUAGE/FRAMEWORK] boilerplate for [WHAT: ROUTE/CLI/COMPONENT/CLIENT]. Contract: takes [INPUT], returns [OUTPUT], handles [ERROR CASES → STATUS/BEHAVIOR]. Match the style of this sample from my project: [PASTE ONE FILE]. Keep it to one focused module; use [TYPESCRIPT TYPES/TYPE HINTS]; no placeholder TODOs in error paths.
Frequently asked questions
How do I get generated boilerplate to match my project's conventions?
Paste a sample — one representative file from your repo plus "mirror this style" outperforms any adjective list. Since @vustbot can't read your repository, that pasted file is the only convention signal it gets; without it you'll receive clean but generic textbook style.
Is chat-generated boilerplate worse than an IDE copilot for this?
Different tool, different grip: an inline copilot autocompletes as you type inside the file, a chat produces a complete named artifact you specify up front and can regenerate with a different model. For self-contained scaffolds — a whole route, a whole CLI skeleton — the spec-first chat shape works well; for line-by-line completion inside existing code, it doesn't compete.
How much boilerplate should I ask for in one message?
One module you will actually read — a route, a component, a client class. Asking for "the whole CRUD app" produces interlocking files you'll paste unread, and unread generated code is where bugs hide. Ten focused asks beat one giant one, and per-action Balance pricing makes the focused pattern the cheap one too.
Related in Developers
Try it on your real task
The welcome bonus covers a first run — send the prompt above with your own facts and judge the output yourself.
Open @vustbot