WalnutAI

Overview

WalnutAI is an AI-powered software delivery platform that connects requirements, code generation and testing. It is best suited to engineering leaders, QA teams and developers who want those activities linked in one workflow. Its strongest case is combining document-to-requirements extraction with code changes and generated tests; its per-user pricing and project caps make plan choice important.

Key features

WalnutAI can extract epics, features, modules and user stories with acceptance criteria from Word, PDF, Excel, CSV and PowerPoint files. That gives teams a route from existing requirements documents to structured work, rather than starting with test cases alone.

Its cloud agent can implement a user story, commit changes to a feature branch and open a draft pull request. The VS Code extension adds Ask, Plan and Agent modes. Together, these are aimed at teams that want AI assistance to reach the development workflow, though the listed functionality does not remove the need for developers to review proposed changes.

For QA, WalnutAI generates positive, negative, API, UI and integration test cases from user stories, and supports test execution and reporting. It also supports browser, API and mobile test generation. Integrations include GitHub, GitLab, Bitbucket, Jira, Azure DevOps and Figma, giving it connections across code hosting, work tracking and design.

WalnutAI's security policy describes TLS 1.3 for data transmission and AES-256 encryption for sensitive data fields at rest. It lists GDPR and CCPA compliance and says its SOC 2 Type II controls are aligned and regularly audited by third parties. Enterprise adds SSO/SAML, private deployment options, dedicated support and an SLA.

Pricing

The Free Trial costs nothing and provides full platform access, unlimited projects and users for 14 days. It is a time-limited evaluation, not a continuing free plan.

Explorer costs $18 a month, billed per user / month. It includes up to five projects and five users, Jira/Azure, Figma and test case generation. This is the entry point for a small team evaluating requirements-linked testing, but the project and user ceilings can constrain broader adoption.

Team costs $65 a month, billed per user / month. It allows unlimited projects and up to ten users, and adds mobile test execution, continuous gap analysis and community support. It suits teams needing those capabilities and more project room, but the per-user billing and ten-user cap remain relevant.

AutoBot is a custom pricing add-on available across all licenses. It builds applications and generates requirements and test cases, making it the option for teams seeking that broader automation rather than only the base platform workflow.

Enterprise has custom pricing, unlimited projects and users, SSO/SAML, on-premise or private cloud deployment, dedicated support and an SLA. It is the plan for organizations that need private deployment or enterprise access controls; it is not a published-price alternative to Explorer or Team.

Platforms

WalnutAI is available on Android, iOS, Linux, macOS, Windows and the web, with an extension and self-hosted option. The VS Code extension provides Ask, Plan and Agent modes; Enterprise specifically includes on-premise/private cloud deployment.

Who it's for

WalnutAI fits engineering and QA groups that work from formal requirements and want generated code and tests connected to that work. Explorer makes the most sense for a small team with modest project needs. Team is a closer fit when mobile test execution or continuous gap analysis matters. Organizations requiring unlimited seats, SSO/SAML or private deployment should consider Enterprise.

It is less compelling for an individual or small group looking only for a free test-case generator: there is no ongoing free plan, and even Explorer is capped at five users and five projects.

Pros and cons

• Pro: Requirements extraction accepts five common office and data formats, helping teams turn existing documents into structured stories and acceptance criteria.
• Pro: The workflow reaches beyond test generation: the cloud agent can commit story implementations to a feature branch and raise a draft pull request.
• Pro: Generated test coverage spans positive and negative cases as well as API, UI and integration testing, with execution and reporting support.
• Con: There is no continuing free plan, and Explorer restricts access to five projects and five users.
• Con: Team costs $65 a month per user and still caps the team at ten users, so larger groups need custom-priced Enterprise.

Alternatives

For a broader category comparison, browse AI Test Case Generators.

• QAEverest is worth considering if a free plan and a broad platform footprint matter more than WalnutAI's requirements-to-code workflow.
• Trulit suits readers seeking a free entry plan with test case and defect management, up to three users and two projects.
• TestMap.ai is an alternative for teams wanting a free tier with up to two projects, two team members and 50 AI tests per user each month.
• Casely is a free alternative.
• TestStory AI offers a free plan with 25 monthly credits and several export and sharing options, for readers whose needs center on generated tests rather than WalnutAI's connected delivery workflow.
• Qase has a free plan for up to four users and two projects, making it an option for smaller teams comparing test-management limits.
• Panaya is another paid option with a free trial.
• TestPilot has a free plan with 20 generations per month and Jira integration, which may suit a reader seeking a capped free starting point.

Verdict

Choose WalnutAI if your engineering or QA team wants to connect existing requirements to generated implementation work and a varied testing workflow. Its main advantage is that breadth, from document extraction through draft pull requests and test execution. Look elsewhere if a permanent free plan is essential, or if per-user pricing and project or seat caps do not fit your team.