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Ship faster without breaking production

A practical playbook for testing at the pace of AI-assisted development. Learn how to implement continuous quality and catch bugs before they reach production.

80%

Faster test creation

90%

Less time on maintanence

70%

Reduction in bugs

Helping Companies Ship 10X Faster

General

Creates production-ready Playwright tests. When your app evolves, the agent automatically heals broken tests.

E2E Agent

Creates production-ready Playwright tests. When your app evolves, the agent automatically heals broken tests.

CI Agent

Creates production-ready Playwright tests. When your app evolves, the agent automatically heals broken tests.

API Agent

Creates production-ready Playwright tests. When your app evolves, the agent automatically heals broken tests.

General

E2E Agent

CI Agent

API Agent

Ship faster with confidence

Ship fast because your testing suite has your back. Full test coverage from day one.

Full coverage from day one

Bootstrap to 100-150 tests in your first week. E2E, API, and unit tests working together for complete protection.

Run tests on every PR

CI Guard generates 50-200 tests per PR, testing exactly what changed. Actually executed, not just reviewed.

Always on, always learning

Plugged into your CI, running on every commit. Monitors production errors: every bug becomes a test.

Generate tests at scale

Thousands of endpoints covered in days. 10,000 tests, not 10. Coverage that scales with AI output automatically.

Intelligent testing agents

Three specialized agents working together to keep your codebase fully tested.

End-to-end tests

Creates production-ready Playwright tests. When your app evolves, the agent automatically heals broken tests.

Learn more →

CI Guard

Generates 50-200 tests for each PR, targeting the exact code that changed. By the time you review a PR, it's already been executed and verified.

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API testing

Covers thousands of endpoints in days, not months. Tests span multiple endpoints and verify your system actually works, not just status codes.

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Real Customer Outcomes

Trusted by fast shipping teams

Legal Tech

30%

faster engineering cycles. 70% fewer bugs. 0% flakiness.

How Postilize achieved full regression testing with Checksum

Learn more →

With Checksum, Postilize is able to simply ship faster. Having a full testing suite with no flakes and little effort on our side allows us to spend less time firefighting, get immediate feedback, and ship to production daily.

Co-founder, Postilize

Travel Tech

$200K

saved annually. 1 month to full test suite. 20% engineering time reclaimed.

How Reservamos Saved $200K a Year by Automating QA Across Every Client Environment

Learn more →

Checksum saved us $200K a year. The fact that they provide a comprehensive testing suite and maintain it in real-time is a game changer. Our engineering team moves and innovates faster and paying per test allows us to tie the costs directly to the money saved.

CTO, Reservamos

SaaS

$500K

annual savings, 6 critical bugs caught weekly, 250+ end-to-end tests built in under a month

How Clearpoint Strategy Built 250 E2E Tests in a Month, and Stopped 6 Critical Bugs a Week

Learn more →

Checksum is a game-changer. It saves me so much time writing tests so I can deploy my engineering resources to building tomorrow's technology today—not fixing yesterday's release over and over again.

Co-founder, Clearpoint Strategy

SaaS

200+

full user-journey E2E tests built and managed

How Ketch Scaled to Nearly 200 E2E Tests Without Building an Automation Team

Learn more →

Checksum turned end-to-end testing into a reliable release signal for us. The suite runs daily, stays healthy as our product evolves, and helps us ship with confidence.

Co-founder, Head of Product, Ketch

Ed Tech

40%

reduction in manual testing time

How Stellic cut manual testing by 40% with Checksum’s AI-powered E2E testing

Learn more →

Checksum provides more than just AI-driven testing; they provide peace of mind. We no longer worry about broken tests or lengthy testing cycles. Instead, we can focus on scaling our platform and delivering value to our customers.

Head of Engineering, Stellic

Retail

500

faster launch, 200 hours saved

How Engagement Agents migrated 500 tests in a week and launched their UI redesign 30% faster

Learn more →

Checksum turned what looked like a months-long test rewrite into a one-week migration. When our new UI landed, all the tests were already green and we launched 30% faster, with full confidence.

Founder and President, Engagement Agents

Real Customer Outcomes

Trusted by fast shipping teams

Checksum AI and Google Cloud: End-to-End Testing AI Innovation

Checksum Is Now Available on Google Cloud Marketplace Checksum has graduated from the Google Cloud Emerging Partner Springboard Program and is now available on Google Cloud Marketplace. AI-powered end-to-end testing is now easier to deploy, procure, and scale within your existing Google Cloud environment.

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Why We Built A System of AI Agents to Automate E2E Testing

Why Checksum Uses a System of LLM Agents Instead of One Large Model A single general-purpose model is not the best way to build reliable AI testing. Here is how Checksum orchestrates an array of smaller, specialized models to improve accuracy, reduce hallucinations, and generate end-to-end tests faster.

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Three Stages of Technology Transformation

The Three Stages of Technology Transformation: Where LLMs and Testing Are Headed From faster test generation to real-time autonomous maintenance, LLMs are reshaping how software gets tested. Here is the mental model Checksum uses to think about where this technology is going next.

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Flaky Tests Are Costing You More Than You Think — Here’s How to Fix It

How Checksum's Auto-Recovery Keeps Tests Running When Your UI Changes Flaky tests slow teams down and erode confidence in automation. Here is how Checksum's AI-driven auto-recovery detects unexpected UI changes, adapts in real time, and keeps your test suite running without false failures.

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Autonomous SDLC: A Test Product Perspective with Modern Software

Checksum CEO Gal Vered on Autonomous Testing and the Future of the SDLC Checksum co-founder Gal Vered joins Modern Software's Mike Verinder to discuss how AI is reshaping end-to-end testing, why quality is the missing layer in autonomous engineering, and what the future of the SDLC actually looks like.

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Your Gen AI App is Growing. Your Test Coverage Isn’t

Why GenAI Teams Need a Different Approach to QA Shipping daily with brittle test scripts and manual regression cycles is not sustainable. Here is how AI-native teams are replacing outdated QA frameworks with fully managed, self-healing test automation that scales with their product.

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Does Output Format Actually Matter? An Experiment Comparing JSON, XML, and Markdown for LLM Tasks

Does Output Format Matter for LLM Tasks? We Tested JSON, XML, and Markdown We ran 90 experiments across coding, bug fixing, and creative writing tasks to find out if output format affects LLM performance. The short answer: less than you'd think. Here's what we found.

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New in Checksum: Faster quality signals across CI/CD

What's New in Checksum: Feature Health Dashboard, Ticketing Integrations, and Smarter Triage Checksum's latest updates give engineering teams a nightly health snapshot, on-demand test runs, and automatic bug routing into Jira, Linear, and Slack so quality signal becomes actionable work faster.

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No Code Test Automation

What Is No-Code Test Automation and How Does It Work? No-code test automation lets teams create, run, and maintain tests in plain English without writing a single line of code. Here is how AI-powered platforms like Checksum generate production-quality Playwright tests from natural language descriptions.

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The True Cost of Maintaining a Test Suite

The True Cost of Maintaining a Test Suite Test maintenance is invisible until it isn't. Learn how to calculate what your team is actually spending on failures, where the time goes, and how AI-assisted maintenance reduces that cost by up to 99%.

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Flaky tests: why they happen and how to cut failures fast

Why Flaky Tests Happen and How to Fix Them Flaky tests are not random. Selector changes, flow drift, environment instability, and timing issues account for most failures. Here is how to diagnose what is breaking and build a maintenance loop that keeps your test suite reliable.

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The Problem With Web Agent Benchmarks (And Why We Need Better Ones)

Why AI Browser Automation Benchmarks Are Measuring the Wrong Thing Aggregate accuracy scores don't tell you which workflows you can actually automate. Here's why production AI automation depends on agent harnesses, code-based healing, and resilience over time, not one-shot benchmark performance.

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Repo Mirror: Ending the Drift Between Code and UI

Bidirectional GitHub Sync for Checksum: Repo Mirror keeps your GitHub repository and Checksum UI automatically in sync. No manual exports, no drift. Developers stay in their IDE, QA works in the dashboard, and your code is always the source of truth.

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From Atoms to Bits: Building a World Model for Software

AI can write code in seconds. Deploying it with confidence still takes days. We explore why coding agents can't see what happens when their code hits production, and how a Code World Model closes that gap.

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47% Better: What happened when we stopped teaching our agent our stack

We changed how our AI agent works—no new model, no new data—and improved end-to-end test quality by 47%. Here’s why letting agents just write code works.

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Frequently Asked Questions

How does Checksum generate tests?

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Do I need to write any tests myself?

How does CI Guard protect my pipeline?

What languages and frameworks are supported?

How long does setup take?