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Hyperswitch Prism keeps each payment processor’s quirks inside that processor’s own connector, and shares everything else: the unified request shape, the request-building sequence, and the orchestration code that drives a payment. A DEV Community article by aveeJ, published alongside a matching LinkedIn post that associates the piece with Jeeva Ramachandran, uses a condensed Rust example to show how this split works. The article names six design patterns, and it is explicit that its example is a simplified reference version rather than the production codebase. This piece walks through that design, the order in which a request moves through it, and what the example does and does not demonstrate.
What Prism is, as the article describes it
The article presents Hyperswitch Prism as a stateless Rust library. A merchant-facing application hands it one unified payment request, and the library turns that request into a call shaped for a specific processor’s API. The article’s scale claim is that Prism talks to more than 100 processors. That figure is the author’s, published with the article in 2026. The article supplies no methodology for the count and no independent verification of it, so treat it as the project’s stated scope rather than a measured fact.
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How a request moves through the design
The example follows a fixed sequence. Each step below names the component that handles it.
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OnceLockandArc, which is the Singleton pattern in the example. - Unified input. The caller builds a single
PaymentRequeststructure, regardless of which processor will eventually receive it. - Connector selection. A factory maps a runtime connector enum value to a concrete connector implementation.
- Connector behavior. Every connector implements a shared strategy interface. Connector-specific methods supply the HTTP method and the URL.
- Request translation. A request adapter converts the unified input into the processor’s request shape and validates it on the way.
- Request assembly. A template method defines the order of the shared request-building steps, and a builder assembles the final request.
- Response translation. A response adapter maps the processor’s status and transaction fields back into a unified response.
The patterns and what each one isolates
The patterns are not decoration. Each one sits at a boundary where processor differences could otherwise spread through the code. The table lists the role each pattern plays in the example.
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| Pattern in the example | Role in the example | Processor detail it keeps out of shared code |
|---|---|---|
| Singleton | One process-wide configuration value, initialized once with OnceLock and shared through Arc |
Repeated setup on every request |
| Simple factory (the article’s term; not GoF Factory Method) | Maps a runtime connector enum value to a concrete connector | Connector selection logic scattered across callers |
| Strategy | A shared connector interface, with connector-specific HTTP method and URL | Endpoint and verb details |
| Adapter (request) | Converts and validates the unified input for the processor’s request shape | Field names, nesting and validation rules |
| Adapter (response) | Maps processor status and transaction fields to a unified response | Each processor’s status vocabulary |
| Template Method | Defines the shared request-building sequence | Ordering of build steps repeated per connector |
| Builder | Assembles the final request object | Piecemeal request construction |
A note on the factory
The article is careful about naming. Its enum-to-connector match is a simple factory, not the Factory Method pattern in the strict sense from the Gang of Four book. The distinction matters for readers who compare the code with textbook diagrams: Factory Method typically lets subclasses decide which product to create, whereas the example performs a direct mapping from an enum value to a concrete type. The design goal is the same either way, which is to keep callers ignorant of which connector they are using.
Why the author frames the design this way
The article’s rationale is that connector variation sits behind a common contract and a translation boundary, while orchestration and request assembly are reused across all connectors. The author puts the trade-off in a memorable line:
Rank #2
“Adding your first payment connector is fun. Adding your second is where you find out whether you designed anything at all.”
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— aveeJ, author of the DEV Community article
Adding a connector, as the example illustrates it
The article’s Stripe example shows the extension point. The steps below reflect what the example changes and what it leaves alone.
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- Register the connector. Add a new variant to the connector enum and a matching arm in the factory.
- Implement the strategy. Supply the connector’s HTTP method and base URL through the shared strategy interface.
- Add the adapters. A complete connector also needs request and response adapters to translate to and from the processor’s shapes.
- Leave the shared parts alone. In the example, the shared request representation, the template method, the builder and the orchestration function do not change.
The example does not show other integration work such as authentication handling or detailed error mapping. Read it as a map of where a new connector plugs in, not as a complete integration checklist.
What the sample does not prove
The article is candid about the sample’s limits, and a reader should weigh them before drawing conclusions:
- The HTTP call is mocked. The sample does not send a request over the network. In the real codebase, the request goes over the wire.
- The sample calls Adyen adapters directly. Prism’s actual connectors own their own transformations; the sample simplifies that ownership away.
- The successful response is a mapping demonstration. It shows how a processor response becomes a unified one. It is not evidence from a live payment.
- The values are illustrative. Sample payment values and processor-specific structures are not recommended credentials, a security review, or a production integration guide.
Design questions for comparing connector approaches
The article does not benchmark Prism against another library, so it offers no measured ranking. If you evaluate connector architectures yourself, the example suggests four questions to ask of any design:
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- Where does processor-specific behavior live, and how many files change when it does?
- What remains shared when a new connector is added?
- How are request and response schemas normalized, and at which boundary?
- What must change in connector registration, and is that change centralized?
Checking current project facts
The article lists the Prism GitHub repository, installation references for Node.js, Python and Java, and the project documentation. It does not establish current package versions, the present connector count, the license terms, or repository activity, and this piece does not verify them. For any of those, check the project’s GitHub repository and documentation directly, since they change faster than an article does.
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