Qodex
Execution-backed code review, API, UI, and security testing
You are leaving botconomy for the provider’s website. Link verified 9/22/2026.
What this product helps you do
Qodex combines pull-request review with real test execution. It installs through GitHub, imports or generates standard HTTP and Playwright scenarios, runs relevant checks against a deployed environment, distinguishes product bugs from stale tests and environment failures, and reports evidence back to the pull request.
Problems it solves
- AI-generated pull requests can outpace manual review and QA capacity
- Diff-only review cannot confirm how a running application behaves
- API, UI, and security checks are often split across separate tools
- Regression scenarios become stale or disconnected from production incidents
Qodex is a continuous-testing platform that combines AI code review with real API, browser, and security test runs. It connects to selected repositories, evaluates changes in their surrounding code, and executes relevant scenarios against a preview or staging deployment.
Findings include reproducible evidence such as the failing request, response, or screenshot. Scenarios can be imported from common specifications and test formats, remain exportable as standard HTTP or Playwright code, and can run on pull requests, deployments, schedules, or webhooks depending on the plan.
Information
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Qodex is a continuous-testing platform that combines AI code review with real API, browser, and security test runs. It connects to selected repositories, evaluates changes in their surrounding code, and executes relevant scenarios against a preview or staging deployment.
Findings include reproducible evidence such as the failing request, response, or screenshot. Scenarios can be imported from common specifications and test formats, remain exportable as standard HTTP or Playwright code, and can run on pull requests, deployments, schedules, or webhooks depending on the plan.
What this product helps you do
Qodex combines pull-request review with real test execution. It installs through GitHub, imports or generates standard HTTP and Playwright scenarios, runs relevant checks against a deployed environment, distinguishes product bugs from stale tests and environment failures, and reports evidence back to the pull request.
Problems it solves
- AI-generated pull requests can outpace manual review and QA capacity
- Diff-only review cannot confirm how a running application behaves
- API, UI, and security checks are often split across separate tools
- Regression scenarios become stale or disconnected from production incidents
Information
You are leaving botconomy for the provider’s website. Link verified 9/22/2026.
Related AI products
LM-Kit .NET
LM-Kit is a powerful toolkit for integrating and orchestrating AI agents within .NET applications. It enables seamless multimodal AI workflows with efficient on-device inference, enhancing AI-driven features while maintaining low resource consumption and high performance.
Microsoft Power Platform
Microsoft Power Platform combines Power BI, Power Apps, Power Automate, Power Pages, and Copilot Studio for low-code analytics, application development, process automation, websites, and agents.
SmythOS
SmythOS combines a drag-and-drop Agent Studio, prompt-based Weaver builder, runtime, deployment tools, templates, team collaboration, SDK, and CLI for creating and operating AI agents.