The AI Code Tool: Write and Debug Faster with WorkCrafter

The code tool writes, explains and debugs code across languages. Used well it removes hours of boilerplate and lookup; used carelessly it produces confident-looking code that doesn't run. This guide covers the engines and the habits that keep you on the productive side of that line.

The engines

The code tool shares its engines with text — the labels mean the same trade-off:

• Automatic (recommended): a good default for most tasks.
• Balanced: everyday coding — snippets, functions, config, quick fixes.
• Most capable: reach for it on tricky logic, larger refactors, subtle bugs or unfamiliar libraries.
• Fastest: quick lookups and small utilities when you just need a starting point.

“Use Most capable when the bug is the kind you'd spend an hour on. Use Fastest for the regex you'll verify in ten seconds anyway.”— WorkCrafter

Prompt for working code

Vague requests produce vague code. Give the tool the context a colleague would need:

1. Language and version ("Python 3.12", "TypeScript, Node 20").
2. What the code should do, and the inputs and outputs.
3. Constraints: framework, style, no external dependencies, performance limits.
4. Where it runs, if it matters (browser, server, serverless).

Write a TypeScript function (Node 20) that reads a CSV file and returns an array of typed objects. No external libraries. Handle quoted fields and empty lines. Include a short usage example.

The more precisely you bound the task, the more likely the first result runs. "Parse a CSV" gets you a toy; the prompt above gets you something you can paste in.

Debugging with it

The tool is often faster at reading an error than you are. Paste the exact error message and the relevant code, and say what you expected to happen. "It doesn't work" wastes the request; the stack trace plus the failing input gets a real diagnosis.

Always review before you ship

Generated code can look right and be subtly wrong — an off-by-one, a missed edge case, an outdated API. Treat every result as a competent draft from someone who didn't run it:

• Read it before you run it, especially anything that deletes, writes or sends.
• Run it against a real input, not just the happy path.
• Never paste secrets, API keys or customer data into a prompt.
• Be skeptical of library calls you don't recognise — verify the function exists.

What it costs

A code generation costs 2 credits (1 credit = $0.01) — the same as text. Failed generations are refunded automatically, so iterating on a prompt is cheap.

Frequently asked questions

Can it work on my whole project?

It works on what you give it in the prompt — a function, a file, an error. It doesn't see your repository, so paste the relevant context and keep tasks focused.

Which engine for a hard bug?

Most capable. Subtle logic and unfamiliar libraries are exactly where the extra capability earns its keep; for a quick utility, Balanced or Fastest is plenty.

Is the generated code safe to use commercially?

Yes under the platform's terms, but you're responsible for reviewing it — correctness, licensing of any patterns, and security are on you before it ships.

Start building

Open the code tool, give it the language, the goal and the constraints, and paste real errors when you debug. Review every result before you run it and you'll ship faster without shipping surprises.