Engineering stories, shipped.

An end to buggy web apps

An update on the mission and how Replay QA fits into it.

Customer profile: Andres Zubillaga, Audos, on supporting a million donkeycorns

Why Audos chose Replay QA to power a first-party app testing experience in their app building platform.

Mark Erikson on Replay QA: from time-travel debugging to autonomous QA

Mark Erikson joins Jeff Auriemma to explain how Replay went from a time travel debugger to an MCP to autonomous QA, and why agents are the users time-travel data was waiting for.

What our experimental self-healing software loop shipped in two weeks

We ran a two-week pilot of a self-healing loop on our own repository. It opened 152 pull requests, none written by a human, and every one of the 80 our engineers merged landed with the original bug reproduced and shown to be gone.

Customer profile: Natacha Grey of Swoon.ai

Natacha Grey has spent more than 20 years building for the web: as a front-end developer, a designer, a project manager, and a director of production at ad agencies. Across all of it, QA was the part that never kept up. Today she runs Swoon.ai, an agency that builds custom marketing lead journeys for niche brands in finance, entertainment and beyond.

Replay QA tests the app you built with AI

Replay QA runs real browser tests on AI-built apps, records every session, finds bugs, and gives builders proof their app works before launch.

How to Set Up Replay MCP with Codex in Under 10 Minutes

Connect Replay's MCP server to Codex CLI so your terminal agent can investigate browser recordings autonomously - DOM state, React trees, network timing - without you reproducing the bug. Setup takes under 10 minutes.

How to Set Up Replay MCP with Claude Code in Under 10 Minutes

Learn how to connect Replay's MCP server to Claude Code so your agent can debug with full browser recordings, React component trees, and network timing. Setup takes under 10 minutes.

Episode 1 of The Greenfield Games: An Autonomous App Builder Beat Two Human Teams

Two human teams competed, The Data Dawgs and America's Next Top Models, six experienced developers total. Running alongside them, without their knowledge, was a third team: C.H.A.D.S. (Continuous Humanless Agentic Development System), an autonomous AI agent loop powered by Replay’s time-travel debugger.

Replay QA

Automatic web app QA

Replay Time Travelogue: Improving Nadia’s “Debugging with AI” Results Using Replay MCP

Replay Time Travelogue: How Replay MCP Helped Find a React Bug Faster than Dan Abramov Did

An example of how Replay MCP enables agents to find and fix deep bugs