Replay.io Blog

Engineering stories, shipped.

Product updates, case studies, and debugging insights from the Replay team.

Looking for something older? Browse the full archive.

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

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.

Thomas Daly
Customer profile: Natacha Grey of Swoon.ai
Case studies

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.

Thomas Daly
Replay QA tests the app you built with AI
TechCompany

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.

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

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.

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

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.

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

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.

Thomas Daly
Replay QA
Tech

Replay QA

Automatic web app QA

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

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

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

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

Mark Erikson
Web Debug Bench
Tech

Web Debug Bench

A new benchmark for testing agent debugging

Brian Hackett
Introducing Replay Precog: Time-Travel Debugging for Code You Haven't Written Yet

Introducing Replay Precog: Time-Travel Debugging for Code You Haven't Written Yet

Inspired by the 2002 documentary Minority Report

Thomas Daly
Open Auto Builder
Tech

Open Auto Builder

Open source tools for building apps autonomously

Brian Hackett