AI coding tools

Give coding assistants a reference they can test

A developer asks a coding assistant for a partial refund function. A plausible call is little help if its fields belong to a different API version. Complete reference entries let the developer test the generated code and correct errors without opening a ticket.

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The task in this example

Write a function that refunds part of a payment with the Payments API.

Business goal: Build brand loyalty
Business metric: Integration activation rate

One refund task, two generated requests

The payment and requested partial refund stay the same. The reference determines whether the assistant has evidence for the endpoint, amount field, and expected response.

The assistant has to guess

The reference shows only full refunds and alternates between two amount field names.

The generated function sends an unsupported field; the error provides no recovery guidance.

Endpoint choice: Refunds
Amount field: Guessed from conflicting pages
Sandbox outcome: Request rejected

The developer investigates or contacts support

The reference supports a valid call

The current endpoint entry includes a partial-refund example and a field-specific error reference.

The developer tests a request using the documented amount field and checks the refund result.

Endpoint choice: Refunds
Amount field: refund_amount, as defined for this API version
Sandbox outcome: Partial-refund response verified

The refund flow can progress to integration testing

Connect a valid example to an activated integration

Reference quality affects the first call and recovery from errors. Activation requires more: the customer must complete and test the integration in its own application.

Generate a valid request

Current fields and examples reduce guessing.
- Valid generated calls
- Current API version
Test the flow

Sandbox evidence distinguishes runnable code from plausible code.
- Sandbox pass rate
- Self-corrected errors
Activate the integration

The customer completes its release checks.
- Time to go live

Business metric

Integration activation rate

Count integrations reaching an agreed operational activation milestone; report sandbox success separately.

What to measure and how to interpret it

Keep the prompt, API version, and test payment conditions fixed. Inspect code against the reference and run it in the sandbox. Record a valid call separately from a complete, production-ready integration.

Valid generated calls: Share of generated requests with a supported endpoint, required fields, and valid values.
Current API version: Share of samples using the intended supported version rather than a cached or retired reference.
Sandbox pass rate: Share that meet expected response and state checks for the partial-refund case.
Self-corrected errors: Share of deliberately introduced, documented errors corrected using the error reference without support assistance.
Time to go live: Elapsed time from the agreed integration start to the operational activation milestone.

Check the business result

Compare activation rates for similar integration types and customer cohorts. Include developer tickets and time to first call as diagnostic measures. API revenue is a possible downstream result, but valid generated code alone does not establish additional usage or revenue.

Schedule a call

Put the runnable example beside the field definition

The endpoint, version, example, error, and test result belong together. A developer should be able to check what the assistant generated against the same maintained entry.

Payments API / Refunds

API reference entry

Create a partial refund

For this API, refund_amount is the partial amount in the payment currency’s minor unit.

Version: Supported version identified on the entry
Required inputs: Payment ID and refund_amount
Example case: Refund part of a captured payment in the sandbox
Expected result: Refund record identifies the original payment and requested amount
Error recovery: An invalid amount error identifies the field and allowed bounds

Intelligent content

Maintain required fields, runnable examples, expected responses, and actionable errors with the endpoint version.

Taxonomy

Distinguish refunds, reversals, and credit notes, including the terms developers use, so retrieval selects the correct operation.

A practical starting point

Test one partial-refund prompt and a small set of error cases against the current reference. Repair discrepancies between schema, example, and error guidance before adding more endpoints.

Engineering owns API behavior and the sandbox. The developer owns application testing and deployment; the assistant’s output remains a proposal until tested.

See how this scenario works

Explore the work with Intuitive Stack

Where do generated API calls break down?

Intuitive Stack can help review endpoint structure, developer terminology, and the examples and error guidance a coding assistant needs to produce testable work.

Versioned reference entries
Runnable examples and expected results
Errors developers can recover from

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