API Code Generator

Scan any GitHub repo or docs URL, select API endpoints, optionally audit for inaccuracies first, then generate production-ready integration code in 12 languages. In one workflow.

app.docutect.com/dashboard/code-generator
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Select API Endpoints (12 found)
POSTCreate Payment Intent
GETRetrieve Customer
POSTCreate Charge
GETList Invoices
POSTCreate Refund
3 selected ยท 3 code gen credits
Continue
๐Ÿ Python ยท 3 endpoints
Complete
POST/v1/payment_intents
GET/v1/customers/{id}
POST/v1/charges
create_payment_intent.py Copy
import stripe
import os

stripe.api_key = os.environ["STRIPE_SECRET_KEY"]

def create_payment_intent(
    amount: int,
    currency: str = "usd",
    automatic_payment_methods: bool = True,
) -> stripe.PaymentIntent:
    """Create a Stripe PaymentIntent.
    
    Args:
        amount: Amount in smallest currency unit (cents).
        currency: ISO 4217 currency code.
    Returns:
        stripe.PaymentIntent with client_secret for frontend.
    """
    return stripe.PaymentIntent.create(
        amount=amount,
        currency=currency,
        automatic_payment_methods={
            "enabled": automatic_payment_methods
        },
    )
Audit-first

Outdated docs produce broken code.
Audit first to fix them.

API documentation drifts. Parameters get renamed, auth methods change, response shapes evolve. When you generate integration code from stale docs, you get code that fails at runtime. DocuTect's audit-first mode runs a full hallucination audit on your selected endpoints โ€” using Claude and GPT-4.1, 10 queries each โ€” then applies remediations in memory before the code generator sees the docs.

~2 minutes per endpoint for a full audit
Claude + GPT-4.1, 10 synthetic queries each
Remediations applied in memory โ€” docs not modified
Code generates from corrected, verified content
Step 3 โ€” Audit Options
Enabling audit corrects inaccurate documentation before code generation. Costs 1 audit credit per endpoint, ~2 min each.
POST /v1/payment_intents
Audit on
GET /v1/customers/{id}
Audit on
POST /v1/charges
Skip
2 endpoints will be audited ยท ~4 min ยท 2 audit credits

How the workflow works

Six guided steps from source URL to ready-to-ship code.

01

Provide a source

Paste a GitHub repo URL or a documentation page URL. DocuTect scans it for API endpoints and descriptions automatically.

02

Select endpoints

Review the AI-ranked list of discovered endpoints. Check the ones you need. Select all or cherry-pick โ€” quota is enforced per selection.

03

Audit first (optional)

Toggle audit on for any endpoint. DocuTect runs a full hallucination audit (~2 min/endpoint) using Claude + GPT-4.1, then applies remediations in memory before generating.

04

Pick a language

Choose from 12 languages. DocuTect tailors the code style, SDK idioms, and error handling patterns to the language conventions.

05

Review & confirm

See a full quota and cost summary โ€” credits per code generation, audit credits โ€” before anything is consumed.

06

Receive code

Generated code appears in a tabbed, syntax-highlighted viewer. Copy each endpoint to clipboard and ship immediately.

12 languages supported

DocuTect generates idiomatic code for each language โ€” SDK patterns, error handling, and naming conventions are all adapted automatically.

๐ŸPython
๐Ÿ”ทTypeScript
๐ŸŸจJavaScript
โš›๏ธReact (TS)
๐ŸŸฃC# (.NET)
โ˜•Java
๐ŸนGo
๐ŸŽฏKotlin
๐ŸŽSwift
๐Ÿ˜PHP
๐Ÿ’ŽRuby
๐Ÿฆ€Rust

Simple, transparent pricing

Code generation is priced per endpoint selected, with an optional audit add-on.

Free

$0/mo

  • 10 code generations / month
  • 3 audit credits / month
  • $1 per code gen overage
  • $3 per audit overage
  • All 12 languages
Most popular

Pro

$100/mo

  • 100 code generations / month
  • 50 audit credits / month
  • $1 per code gen overage
  • $3 per audit overage
  • All 12 languages

Enterprise

Custom

  • Unlimited code generations
  • Unlimited audit credits
  • Dedicated support
  • SSO + team management
  • Custom SLA

Frequently asked questions

How is this different from asking an LLM directly?

LLMs are trained on data that may be outdated. DocuTect scans the actual source (your docs or repo), optionally audits it for accuracy, and generates code from verified, up-to-date content โ€” not from what GPT-4 learned during training.

What does "audit first" actually do?

It runs the full DocuTect audit pipeline on the selected endpoints: generating synthetic queries, firing them at Claude and GPT-4.1, evaluating responses against your docs, and applying corrections. The generator then uses those corrections instead of the raw docs.

Are API keys or secrets ever included in output?

No. The generator is instructed to always use environment variables for secrets and to never hard-code credentials. All generated code uses os.environ[], process.env, or the equivalent for the target language.

What counts as a "code generation" for quota purposes?

Each endpoint you select and generate code for counts as one code generation credit โ€” regardless of language. Auditing an endpoint consumes one audit credit in addition.

Can I use this on private GitHub repos?

Yes. Provide a GitHub personal access token (PAT) in the optional token field. The token is used only for the scan and is never persisted.

Generate your first integration today

Free tier includes 10 code generations and 3 audits per month. No credit card required.