Regresco vs. Checksum.ai

Regresco performs regression testing on web applications utilizing cloud Chromium at a specified staging URL. Users can design test flows by importing specifications from Playwright, creating them manually, or leveraging a coding agent like Claude Code, Claude, or ChatGPT to store configurations through MCP. These test flows encompass a variety of browser actions—such as navigating, clicking, filling out forms, selecting options, hovering, uploading files, and making assertions—combined with API calls for both login and setup. Tests can be set to run on a daily or weekly basis, or they may be triggered via CI through a webhook, accommodating both desktop and mobile Chromium views that support touch interactions. Each test run yields comprehensive feedback that includes step-by-step results, screenshots, Playwright traces, and any console errors that arise; if a test does not pass, it is classified as either a probable regression, a flaky test, or an issue related to broken locators. Furthermore, the selectors used for clicking and form-filling can automatically adjust when their original identifiers no longer align with elements bearing the same name, while assertions remain unaffected by this auto-healing capability, ensuring that legitimate regressions are still identified as failed tests. The results of these tests are conveyed to your team through email notifications or can be recorded as issues in Jira. The free plan permits one project with a cap of 20 test runs per month, allowing full access to all features without the necessity of a credit card. This robust testing framework guarantees that your web application upholds its functionality with every update, providing peace of mind as you deploy new changes. Moreover, it fosters a culture of consistent quality assurance within your development team, ultimately enhancing the user experience.

AI coding tools have fundamentally changed how software gets built. Developers are shipping more code, faster, with less friction than ever before. But the organizations benefiting most from AI-accelerated development are running into the same wall: quality hasn't kept pace. More code means more surface area for bugs. More PRs means more review burden on senior engineers. More releases means more chances for regressions to reach customers. The bottleneck has moved from writing code to verifying it, and verification is still largely manual. Checksum is a continuous quality platform built for this reality. Its suite of AI agents autonomously generates, runs, and maintains tests across every layer of the software development lifecycle: end-to-end UI flows, API endpoint coverage, and PR-level CI validation, so engineering teams can move fast without sacrificing reliability. What sets Checksum apart: it doesn't wait for instructions. It works as a background agent, continuously monitoring your codebase, generating tests for what matters, and repairing broken tests as the product evolves. Seventy percent of test failures resolve automatically, eliminating the maintenance burden that causes most test suites to decay and get abandoned. Every test Checksum produces is real, Playwright code you own, submitted as a PR to your repository. No vendor lock-in. Teams keep full control. Checksum is fine-tuned on 1.5+ million test runs and integrates natively with Cursor, Claude Code, and 100+ AI coding agents via /checksum slash commands. Testing happens before code review, not after. Generation and healing run on Checksum's cloud, consuming no LLM tokens or local resources. The bottom line: Checksum gives engineering teams the confidence to ship at the speed AI makes possible.