WalnutAI

WalnutAI connects requirements, code generation, and software testing in a single delivery workflow. It can turn Word, PDF, Excel, CSV, and PowerPoint documents into epics, features, modules, and user stories with acceptance criteria. Its cloud agent can implement a user story, commit changes to a feature branch, and open a draft pull request. WalnutAI also creates positive, negative, API, UI, and integration test cases from user stories, with support for test execution and reporting. Listed integrations include GitHub, GitLab, Bitbucket, Jira, Azure DevOps, and Figma. A VS Code extension offers Ask, Plan, and Agent modes. Pricing starts at $18 a month, billed per user, for Explorer; a 14-day trial offers full platform access, but there is no free plan. Explorer is limited to five projects and five users, while Team allows up to ten users. Enterprise includes on-premise or private cloud deployment, dedicated support, and an SLA. WalnutAI lists Android, iOS, Linux, macOS, Windows, web, extension, and self-hosted platforms.

WalnutAI brings requirements extraction, coding assistance, and testing into one workflow, with plans that set different project and user limits. Teams should weigh the paid entry plan against the available trial and Enterprise deployment options.

WalnutAI is designed for engineering leaders, QA teams, and developers. It may suit teams looking to link requirements, implementation work, and test generation.

WalnutAI is an AI software-delivery platform for engineering leaders, QA teams, and developers who want requirements, implementation, and testing connected. It is a strong fit for teams starting with office documents and ending with tracked code and test work; per-user billing and project or user ceilings make sizing important.

Overview

WalnutAI links the path from source requirements to implementation and verification. It accepts Word, PDF, Excel, CSV, and PowerPoint files, extracting epics, features, modules, user stories, and acceptance criteria. That makes it more than a test-case utility: teams can bring existing product or business documentation into a structured delivery workflow.

The cloud agent can implement a user story, commit changes to a feature branch, and raise a draft pull request. This can shorten the distance between a defined requirement and reviewable development work, but the resulting changes still belong in a developer-led review process. Generated test work remains tied to the same workflow, rather than living in a separate QA silo.

Key features

Requirements and coding

Turning mixed office files into stories with acceptance criteria is useful for organizations with substantial document-based requirements. The VS Code extension offers Ask, Plan, and Agent modes, giving developers an in-editor route to WalnutAI assistance. Integrations with GitHub, GitLab, and Bitbucket connect the coding side to common repository workflows; Jira and Azure DevOps cover work tracking, while Figma links design context.

Testing

WalnutAI generates positive, negative, API, UI, and integration test cases from user stories, and supports execution and reporting. Browser, API, and mobile test generation are all covered. That breadth suits QA teams responsible for several application surfaces, while teams seeking only test management may find the broader delivery scope unnecessary.

Security and deployment

The security policy describes TLS 1.3 for data in transit and AES-256 encryption for sensitive fields at rest. It lists GDPR and CCPA compliance and says SOC 2 Type II controls are aligned and regularly audited by third parties. Enterprise adds on-premise or private-cloud deployment, which matters to organizations that cannot place the platform solely in a shared cloud environment.

Pricing

WalnutAI has no permanent free plan, but its Free Trial costs nothing and provides unlimited projects, unlimited users, full platform access, and a 14-day trial. That is enough time for a broad evaluation without an account-size ceiling, but continued use requires a paid plan.

Explorer costs $18 a month, billed per user / month. It allows up to five projects and five users and includes Jira/Azure, Figma, and test case generation. It is the sensible entry point for a small team; the project and user caps become restrictive as multiple products or larger QA groups arrive.

Team costs $65 a month, billed per user / month. It removes the project ceiling, permits up to ten users, and adds mobile test execution, continuous gap analysis, and community support. The higher rate buys meaningful workflow capacity, but a ten-user ceiling still makes it a stepping stone rather than a broad organizational license.

AutoBot is a custom-pricing add-on available across all licenses. It builds applications and generates requirements and test cases, so it is aimed at teams wanting the most automation rather than a basic plan upgrade. Enterprise uses custom pricing and includes unlimited projects and users, SSO/SAML, on-premise or private-cloud deployment, and dedicated support with an SLA. It is the appropriate route for larger or compliance-sensitive deployments.

Platforms

WalnutAI supports Android, iOS, Linux, macOS, Windows, web, a browser extension, and self-hosted deployment. The combination covers desktop and mobile teams, while self-hosting is specifically backed by the Enterprise deployment option.

Who it's for

Choose WalnutAI when engineering and QA need one chain from documented requirements through code changes, generated tests, execution, and reporting. It is particularly suited to teams with varied source documents, repository integrations, and responsibility for browser, API, and mobile coverage. It is less compelling for a small group that only needs a standalone test repository or wants a permanently free service.

Pros and cons

• Pro: Document extraction includes acceptance criteria, giving developers and testers a more actionable starting point.
• Pro: One workflow covers draft pull requests, multiple test types, execution, and reporting.
• Pro: Git, work-tracking, design, and editor integrations fit established delivery environments.
• Pro: Enterprise offers SSO/SAML, private deployment, and SLA-backed support.
• Con: There is no ongoing free plan, so evaluation ends after the 14-day trial unless a paid plan is chosen.
• Con: Explorer is capped at five projects and five users, while Team caps users at ten.
• Con: Team costs substantially more than Explorer, and Enterprise and AutoBot require custom pricing.
• Con: Community support on Team is a lighter support model than Enterprise's dedicated SLA.

Alternatives

For a free, self-hosted approach, choose OpenTest.AI, whose MIT-licensed plan runs without an API key, cloud call, or account. QAEverest suits readers wanting a freemium option with starter credits and all six services enabled. Pick Katalon Studio when a free plan and both low-code and full-code authoring are priorities.

Testsigma is a lower-cost paid alternative with a free plan, free trial, and a Test Management Pro plan at $14/user/month. aqua fits teams wanting a freemium testing platform with unlimited-seat read-only Guest access. Trulit is aimed at smaller teams needing free test-case and defect management for up to three users and two projects.

Qase is a freemium test-management choice with a free tier for up to four users and two projects. Tesbo is a free-forever, self-hosted option with unlimited projects and team members. For a wider directory of test-focused tools, see AI Test Case Generators.

Verdict

WalnutAI is best for engineering and QA organizations that want requirements documents, implementation assistance, and cross-platform testing in one connected workflow. Its main reason to choose it is that breadth, reinforced by repository, tracker, design, and editor integrations. Look elsewhere if you need a permanent free tier, very small-team pricing without caps, or a narrowly focused test-management product.