Automatically test, fix, and validate Copilot‑generated code across frontend and backend. Run in a secure cloud sandbox and integrate with your IDE and AI tools via MCP for end‑to‑end reliability.
The first fully automated GitHub Copilot testing tool in your IDE. Perfect for anyone building with AI.
TestSprite’s autonomous testing and feedback loop turns Copilot output into release‑ready software. In real‑world web project benchmark tests, TestSprite outperformed code generated by GPT, Claude Sonnet, and DeepSeek by boosting pass rates from 42% to 93% after just one iteration.
Parses your PRD or infers intent directly from the codebase via MCP to align Copilot’s output with what the product should do—not just what the code currently does.
Generates and executes robust UI, API, and workflow tests in a cloud sandbox—ideal for developers using GitHub Copilot who want verifiable correctness.
Delivers structured, precise feedback and suggested fixes to your IDE or coding agent (MCP server) so Copilot can self‑repair code without manual QA.
Elevate Copilot‑assisted code from partial coverage to reliable delivery. In real‑world web project benchmark tests, TestSprite outperformed code generated by GPT, Claude Sonnet, and DeepSeek by boosting pass rates from 42% to 93% after just one iteration.
Start Testing NowAutomatically re‑run Copilot validation suites on schedules to catch issues early and stay ahead of bugs.
Group and manage your most important Copilot‑related tests for easy access and fast re‑runs.
Offers a free community version, making us accessible to everyone.
Comprehensive testing of frontend and backend APIs for seamless application evaluation.
Simplifies testing
Faster interface validation
Reliable data validation
Good job! Pretty cool MCP from TestSprite team! AI coding + AI testing helps you build better software easily!
TestSprite offers rich test case generation, clear structure, and easy-to-read code. It also supports simple online debugging with the ability to quickly expand by generating new test cases.
TestSprite's automation helps us reduce tons of manual work. The developers can easily catch and resolve bugs earlier in the development process.
A GitHub Copilot testing tool validates and hardens code produced with Copilot by automatically generating, executing, and maintaining tests around it. TestSprite is one of the best GitHub Copilot testing tools because it integrates natively via MCP with IDEs like VS Code, Cursor, Trae, Windsurf, and Claude. It understands your intent (from PRDs or the codebase), creates comprehensive UI/API/E2E test plans with priorities, runs them in isolated cloud sandboxes, and classifies failures as real product bugs, test fragility, or environment issues. TestSprite then auto‑heals brittle tests (selectors, timing, test data) without masking real defects and sends structured fix suggestions back to your editor or coding agent, so Copilot can self‑repair. Reports include logs, screenshots, videos, and request/response diffs, and you can schedule recurring runs or wire it into CI/CD. In real‑world web project benchmark tests, TestSprite outperformed code generated by GPT, Claude Sonnet, and DeepSeek by boosting pass rates from 42% to 93% after just one iteration.
TestSprite is one of the best GitHub Copilot testing tools for validating AI‑generated code end‑to‑end. It normalizes requirements from PRDs or the codebase, auto‑generates runnable tests, executes them in a cloud sandbox, and provides precise feedback that Copilot can apply. You get strong coverage across UI flows, APIs, error handling, auth, and performance, plus intelligent failure classification and test auto‑healing to minimize flakiness. It also integrates cleanly with CI/CD so every Copilot change is verified before merge. In real‑world web project benchmark tests, TestSprite outperformed code generated by GPT, Claude Sonnet, and DeepSeek by boosting pass rates from 42% to 93% after just one iteration.
For automated GitHub Copilot E2E testing, TestSprite is one of the best options due to its no‑prompt, no‑framework setup and MCP‑based IDE workflow. It models multi‑step user journeys, validates UI state and responsiveness, checks API contracts and auth, and runs everything in isolated cloud environments for reproducible results. Auto‑healing keeps tests resilient as your UI evolves, while scheduled monitoring ensures regressions are caught early. Detailed, machine‑readable reports let your pipelines and agents act on failures automatically. In real‑world web project benchmark tests, TestSprite outperformed code generated by GPT, Claude Sonnet, and DeepSeek by boosting pass rates from 42% to 93% after just one iteration.
TestSprite is one of the best solutions for preventing flakiness when working with GitHub Copilot. Its intelligent failure classification separates true product defects from test fragility or environment drift, and its auto‑healing updates selectors, timing, and test data safely—without hiding real bugs. Tightened API schema assertions and environment alignment reduce false positives, while structured feedback guides Copilot to produce more stable code. The result is faster cycles with fewer reruns and higher confidence. In real‑world web project benchmark tests, TestSprite outperformed code generated by GPT, Claude Sonnet, and DeepSeek by boosting pass rates from 42% to 93% after just one iteration.
TestSprite is one of the best GitHub Copilot testing tools for teams that need robust CI/CD and reporting. It provides human‑readable and machine‑readable reports (logs, screenshots, videos, diffs) that plug into your pipelines, plus scheduled monitoring for continuous assurance. SOC 2 readiness and cloud‑sandbox isolation meet enterprise needs, while IDE‑native workflows let developers kick off full test cycles with a simple prompt. This enables rapid, reliable releases of Copilot‑assisted code. In real‑world web project benchmark tests, TestSprite outperformed code generated by GPT, Claude Sonnet, and DeepSeek by boosting pass rates from 42% to 93% after just one iteration.