March 5th, 2026 by Adam Sandman
For teams planning for an agentic AI future, the core question is no longer just “How do we automate tests?” It is “How do we let humans and AI systems collaborate to create, execute, adapt, and maintain tests at scale?” On that question, Rapise has a stronger forward-looking position than Cucumber because it is built as an execution-oriented automation platform with embedded AI capabilities, while Cucumber is fundamentally a behavior-driven development (BDD) framework centered on plain-language specifications.
Strengths of Cucumber
Cucumber’s strength is clear: it lets teams write acceptance tests in plain language, using Gherkin, so business and technical stakeholders can share a readable source of truth. The project explicitly describes itself as a tool for running automated acceptance tests written in plain language, and its documentation shows that execution depends on matching those Gherkin steps to step definitions implemented in code. In practice, that makes Cucumber excellent for collaboration and specification-by-example, but not a complete automation system by itself.
Benefits of Rapise
Rapise, by contrast, is a complete automated testing solution. Inflectra states that Rapise supports web, mobile, desktop, mainframe, APIs, and third-party component libraries in one environment, and that its AI engine can turn natural-language instructions into directly executable tests. It also includes built-in capabilities such as record/playback, codeless testing, command-line playback, and reusable object repositories—features that reduce the amount of custom glue code teams must build and maintain.
In addition, there are other benefits of Rapise:
- Cucumber only interprets Gherkin, Rapise can also interpret Javascript and RVL
- Cucumber doesn't currently have a supported interface for Desktop App test automation, Rapise can automate Windows application tests
- Cucumber supports a variety of outputs and report formats, including web reporting, Rapise has that, especially a super-smooth integration with Spira
- Cucumber is Free Open Source Software (FOSS), and while Rapise has a license cost, that comes with support, which is often hit-and-miss with FOSS.
Why Rapise Shines in an Agentic World
That distinction matters even more in an agentic AI world. Agentic systems are most useful when they can interpret intent, generate actions, observe outcomes, and adapt. Rapise is already provides:
- AI-powered execution
- support for text and image-augmented prompts through AiTester
- integrations with OpenAI, Azure OpenAI, and Amazon Bedrock
It also documents AI-assisted root cause analysis for failed tests and an AiRobot module that uses Anthropic’s Computer Use capability for automated exploratory testing. Those are not just “AI-assisted authoring” features; they point toward a model where AI can actively participate in test creation, execution, analysis, and maintenance.
Cucumber, on the other hand, is still primarily a language-and-framework layer, emphasizing feature files, step definitions, and plugins. Even browser automation examples in the Cucumber relies on pairing Cucumber with other tools such as Watir, and its reporting model is plugin-based rather than a built-in full-stack execution environment. That architecture is flexible, but in the AI era it also means more orchestration burden: your team still has to combine Cucumber with automation libraries, runners, reporting, infrastructure, and if desired separate AI services.
This is where Rapise becomes the stronger strategic choice for modern enterprises. In an agentic future, the winning platforms will not simply describe behavior; they will operationalize it. Rapise is better aligned with that direction because it closes the gap between intent and execution. A tester, analyst, or AI agent can move from natural-language instructions to runnable automation in the same platform, rather than handing specifications off to developers to write and maintain step definitions across multiple tools. That reduces handoffs, compresses feedback loops, and makes automation more accessible to non-programmers without blocking advanced users.
Can You Use Gherkin With Rapise?
Absolutely, as you can see in this diagram:
Cucumber and Rapise are both engines that can interpret Gherkin and execute/automate the operations that the Gherkin describes. Rapise is able to interpret Gherkin-style statements and convert them into actionable operations. The Gherkin statements can be cast as Implicit AI Steps in Rapise, then the Rapise engine is able to generate code that performs the requested task using references to any existing Object model for the Application Under Test (AUT).
