5 tools tagged
Showing 5 of 5 tools
Autonomous AI agent for end-to-end software testing
TestSprite is an AI testing agent that autonomously generates test plans, writes test code, executes tests, and reports results without human intervention. Ranked #1 on Product Hunt for Developer Tools in 2025, it handles test creation from natural language requirements through execution and regression tracking. Credit-based SaaS model with 121K+ monthly visits.
AI-powered E2E test generation and maintenance platform
Octomind is an AI-powered testing platform that automatically generates, runs, and maintains end-to-end Playwright tests for web applications. It observes user flows, creates test cases from natural language descriptions, and self-heals tests when UI changes would break traditional selectors. Backed by $4.8M seed funding from Paua Ventures with enterprise production deployments.
MCP server for mobile device automation and testing
Mobile MCP is an open-source MCP server that enables AI agents to automate Android and iOS devices — navigating apps, tapping elements, extracting screen content, and running tests on simulators, emulators, and physical devices. It brings agentic mobile engineering to any MCP-compatible AI assistant.
AI-powered API testing with traffic recording
Keploy is an open-source AI-powered testing platform that generates API, integration, and unit tests by recording real network traffic via eBPF. It captures API calls, database queries, and streaming events, then replays them as deterministic tests with auto-generated mocks — no code changes needed. Works across any language or framework with CI/CD pipeline integration and popular testing framework support including JUnit, PyTest, Jest, and Go-Test.
AI code integrity platform for test generation and quality
AI-powered code integrity platform (formerly Codium) focused on automated test generation and code quality analysis. Generates meaningful unit tests and suggests improvements for VS Code and JetBrains. Goes beyond basic code completion to help developers write more robust, well-tested code by analyzing edge cases and generating comprehensive test suites automatically.
