Prompt to Production, Faster

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

Ship faster with confidence

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

Intelligent testing agents

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

End-to-end Agent

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

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CI Agent

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 Agent

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

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
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
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

Coding agents write tests when you ask them to. Checksum runs continuously in the background, generating, executing, and healing tests automatically without anyone prompting it. The difference is on-demand versus always-on. Most teams find they're spending more time fixing AI-generated tests than writing them. Checksum removes that loop entirely.


No. It removes the low-leverage work, writing and maintaining tests that break every time the UI changes. QA teams that use Checksum spend less time on upkeep and more time on exploratory testing, edge cases, and quality strategy.


Most teams are running their first tests within a day. Checksum connects to your existing CI pipeline and works with your current frameworks. There's no rip-and-replace.


Yes. Tests are delivered as real code: Playwright for end-to-end tests that lives in your repository. You can run them anywhere, modify them however you want, and take them with you. No vendor lock-in.


When a selector changes or a flow shifts, Checksum detects the failure, fixes the test, and opens a PR for your review. You see exactly what changed and can approve or reject it. About 70% of failures resolve this way without any human involvement.


Checksum works alongside what you already have, not instead of it. It fills gaps in coverage, keeps existing tests green, and generates new tests as your product changes.


Most teams start by reviewing everything, then gradually extend trust as they see the results. You always have controls: tests come as PRs, healing changes are reviewable, and you can adjust scope at any time.

Ready to ship faster?

See how Checksum can generate and maintain your entire test suite so you can focus on building.

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