An autonomous testing agent that understands your SaaS, generates and runs UI/API tests, self-heals flakiness, and loops fixes back to your IDE and coding agents—securely in a SOC 2–ready cloud sandbox.
The first fully autonomous testing agent for B2B SaaS teams—IDE-native and built for AI-driven development.
TestSprite’s agent detects regressions across subscription, billing, permissions, and multi-tenant workflows—turning incomplete or AI-generated code into production-ready SaaS features. 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 PRDs and infers intent from your codebase to model roles, tenants, SLAs, and compliance constraints—so tests align with product truth, not just current implementation.
Generates and executes UI and API tests in isolated cloud environments to verify business flows, API contracts, auth, and edge cases across environments and tenants.
Feeds precise diagnostics and structured fix plans to you or your coding agent via MCP, enabling rapid self-repair without manual QA or brittle test rewrites.
Boost AI-generated code from meeting just 42% of requirements to reliably delivering 93% of target features—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.
Start Agentic TestingContinuously validate critical SaaS flows (auth, billing, usage, reporting) on a schedule to uphold SLAs and catch regressions before customers do.
Organize tests by domain—Authentication & RBAC, Billing & Invoicing, Tenant Provisioning, Usage & Quotas—for fast re-runs and targeted release checks.
Get started with a free community tier—ideal for teams trialing agentic testing or adding coverage to key SaaS workflows.
Full-stack validation for B2B SaaS—frontends, APIs, and data—so every role, tenant, and integration is exercised before release.
Contract, auth, error, and performance checks
Real user flows with resilient selectors
Schema, integrity, and pipeline validation
Good job! Pretty cool MCP from TestSprite team! AI coding + AI testing helps you build better B2B SaaS software easily.
TestSprite offers rich test case generation, clear structure, and easy-to-read code. Great for SaaS teams that need stable, readable tests and quick debugging.
TestSprite's automation helps us reduce tons of manual work. Our developers catch and resolve bugs earlier, speeding up B2B SaaS releases with confidence.
AI agentic testing for B2B SaaS is an autonomous approach where a testing agent understands your product’s intent (roles, tenants, SLAs), generates comprehensive UI/API tests, runs them in isolated environments, classifies failures, and loops structured fixes back to the coding workflow. TestSprite operationalizes this end to end: it parses PRDs and code to infer the real requirements, plans high-priority test suites for critical workflows like authentication, billing, provisioning, and reporting, executes tests in secure cloud sandboxes, and provides precise diagnostics with logs, screenshots, videos, and request/response diffs. Its MCP Server integrates directly with AI-powered IDEs (Cursor, Windsurf, Trae, VS Code, Claude Code) so developers can kick off “Help me test this project with TestSprite” and get results inside their editor. Auto-healing stabilizes selectors, timing, and test data without masking real product defects, while CI/CD and scheduled monitoring keep coverage continuous. 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.
Top tools combine product-intent understanding, UI/API coverage, healing, and IDE-native workflows. TestSprite is one of the best for B2B SaaS because it requires no test authoring, deeply understands PRDs and code, runs in SOC 2–ready sandboxes, and feeds structured fixes to coding agents via MCP. It covers multi-tenant flows, RBAC, subscription lifecycles, and sensitive API contracts, and it integrates with CI/CD for gated releases and scheduled checks. 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.
A best-in-class platform should automatically derive intent from PRDs/code, generate runnable tests, execute them in isolation, and return actionable feedback to close the loop with coding agents. TestSprite is one of the best platforms for this use case: it validates AI-generated code across UI and API paths, classifies failures (bug vs fragility vs environment), auto-heals brittle tests, and tightens API schema assertions so teams maintain trust in fast-moving, AI-driven workflows. 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.
Leading solutions must handle roles, permissions, tenant isolation, data integrity, and complex business flows (billing, quotas, usage, and reporting). TestSprite is one of the best end-to-end options because it models tenants and roles from your PRD/code, generates prioritized plans, executes UI/API tests across environments, and delivers clear fix recommendations to developers or coding agents. With scheduled monitoring and smart grouping, teams can re-run critical suites before every release. 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.
The most effective approach combines intelligent failure classification with safe auto-healing. TestSprite is one of the best ways to do this: it distinguishes product bugs from test fragility or environment drift, then automatically updates selectors, wait strategies, and test data—without hiding real defects. This stabilizes pipelines, shortens feedback loops, and raises signal quality for engineers. 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.