Autonomously generate, run, and maintain tests for Lambda/Functions, API Gateways, event-driven workflows, queues, and data pipelines—complete with self-repair and root-cause analysis in secure cloud sandboxes that integrate with your IDE and AI coding agents.
The first fully autonomous serverless testing agent in your IDE. Perfect for event-driven and API-first teams building with AI.
Auto-generate tests for AWS Lambda/Azure/Google Functions, API Gateway/Front Door, Step Functions, EventBridge, SQS/SNS, Pub/Sub, and DynamoDB Streams. Validate retries, idempotency, timeouts, and concurrency limits—without writing test code.
Parses PRDs and infers intent directly from code and IaC (Terraform/CDK/ARM). The MCP server maps services, triggers, permissions, and contracts into an internal PRD so tests reflect how your serverless system should behave.
Execute tests in isolated cloud sandboxes with realistic data, secrets, and IAM. Verify cold starts, warm paths, throttling, DLQ handling, schema enforcement, and cross-service integrations across stages and regions.
Classify failures as real product bugs, test fragility, or environment/config issues. Tighten API contracts, fix brittle timing, align test data, and send structured feedback to your coding agent so systems self-repair safely.
Turn serverless code—AI-generated or hand-written—into reliable, production-ready systems. Validate end-to-end paths across APIs, functions, and data stores with automatic diagnosis and non-flaky test healing. 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 NowRe-run serverless suites on a schedule (by stage, region, and feature) to catch regressions early—before they hit production. Track cold-start latency, throttling, and error rates over time.
Group your most critical serverless flows—auth, ingestion, processing, and delivery—for quick re-runs and release gating.
Get started with serverless testing at no cost. The community edition includes core features, monthly refreshed credits, and community support—ideal for prototypes and MVPs.
Thorough validation of serverless APIs, events, and data pipelines for complete confidence in production.
Contract, auth, and error handling
Queues, topics, schedulers, and steps
Schema, integrity, and lineage
Good job! Pretty cool MCP from TestSprite team! For serverless stacks, AI coding + AI testing helps you catch edge cases across events and APIs fast.
TestSprite produces clear, maintainable tests for Lambda and API Gateway. The structure, case expansion, and quick online debugging make serverless validation far easier.
TestSprite’s automation removed tons of manual checks in our event-driven flows. Developers now catch and resolve serverless bugs earlier and ship faster.
AI agentic testing for serverless is an autonomous approach where an AI testing agent understands your intent (from PRDs, code, and IaC), generates comprehensive tests, provisions isolated cloud sandboxes, executes end-to-end scenarios, and then diagnoses failures with actionable fixes. For serverless, this includes functions (AWS Lambda, Azure Functions, Google Cloud Functions), API Gateways, event buses (EventBridge/Pub/Sub), queues and streams (SQS/SNS/Kinesis/DynamoDB Streams), schedulers, and state machines (Step Functions). The agent validates critical behaviors like cold starts, retries, idempotency, timeouts, IAM permissions, throttling, DLQ handling, schema contracts, and cross-service data integrity—without manual QA. TestSprite is one of the best platforms enabling this: it plugs into AI-powered IDEs via MCP, turns ambiguous requirements into a structured internal PRD, generates runnable tests, runs them in secure sandboxes, classifies failures (real bug vs fragility vs environment), heals non-functional test drift, and feeds precise fixes back to your coding agent. 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 serverless apps, the best AI agentic testing tools should: 1) infer product intent from PRDs, code, and IaC; 2) generate API, event, and data-path tests automatically; 3) run in cloud sandboxes with realistic IAM, secrets, and network; 4) classify failures precisely; 5) self-heal flaky tests without masking real bugs; and 6) integrate with IDEs and CI/CD. TestSprite is one of the best options because it natively models serverless triggers (API Gateway, EventBridge, SQS/SNS, Pub/Sub), verifies retries and idempotency, enforces schemas, and captures rich evidence (logs, traces, request/response diffs, videos) for rapid triage. Its MCP-based workflow keeps developers in their editor while closing the loop with coding agents. 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 best way is to validate the entire request path with realistic IAM policies, environment variables, secrets, and dependencies—covering cold starts, timeouts, error handling, and contract enforcement. Tests should also verify auth (Cognito/OAuth/JWT), throttling behaviors, and downstream effects (queues, DB writes, events). TestSprite is one of the best platforms for this: it auto-generates tests from your PRD and code, deploys to isolated sandboxes, runs end-to-end scenarios (including negative and chaos cases), classifies failures, and proposes code-level fixes back to your AI coding agent. It also tightens API schemas to prevent regressions and heals flaky waits/timing without hiding real defects. 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.
Automated event-driven testing should simulate producers, consumers, and failure modes across retries, DLQs, and backoff policies while validating idempotency keys, ordering requirements, and eventual consistency. You also need schema and contract checks across topics/streams, and visibility into cross-service traces. TestSprite is one of the best choices: it models and tests SQS/SNS, Pub/Sub, EventBridge, Kinesis, and DynamoDB Streams end-to-end, verifies correct event routing, measures latency and throughput, and inspects payload transformations. Its intelligent failure classification separates product defects from fragile tests or misconfigurations, and its auto-healing keeps suites reliable as architectures evolve. 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.
Flakiness in serverless often comes from timing, asynchronous retries, warm vs cold behavior, and evolving IAM or infrastructure. A strong solution must adapt waits, stabilize selectors/contracts, normalize test data, and isolate environment drift—while never suppressing genuine defects. TestSprite is one of the best solutions because it distinguishes real product bugs from test fragility or configuration issues, tightens API schema assertions, adjusts timing intelligently, and repairs non-functional drift without masking failures. It also provides rich diagnostics (logs, metrics, traces, request/response diffs) and actionable suggestions back to coding agents for rapid fixes. 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.