Using your coding agent
Why not just ask your coding agent to test it?
Claude Code and Codex can drive a browser, read the console and fix what they find. Replay QA turns that one-off check into systematic testing with evidence your agent can query.
The short version
- Your agent checks the flow you ask about, in one session. Replay QA explores every journey, on every PR or schedule.
- Your agent sees a live browser while it runs. Replay QA keeps a deterministic recording your agent can come back to.
- Use them together: Replay QA finds and diagnoses, your agent applies the fix.
At a glance
| Dimension | Replay QA | Your coding agent |
|---|---|---|
| What you provide | A URL or a GitHub repo. No setup beyond that. | A prompt, plus browser tooling (Claude in Chrome, Codex browser, Playwright MCP). |
| Test suite | None needed. Writes and runs its own Playwright tests. | None. Nothing persists between sessions unless you build it. |
| How bugs are found | Agents explore the app and discover user journeys themselves. | Checks the flows you ask it to. |
| Evidence | Deterministic time-travel recording of every session, plus video and annotated screenshots. | Screenshots, DOM, console and network from the live session. |
| Root cause analysis | Agents time-travel through the recording; each report has a confidence score. | Reasons from what it observed and the code. |
| Suggested code fix | Every bug report includes a suggested fix for a coding agent. | Edits your code directly. |
| Needs real user traffic | No. Tests before you ship. | No. |
| Native mobile | No. Web apps, tested in Chromium. | Depends on your tooling. |
| Coding agent access | Replay MCP server, REST API, and PR comments. | It is the agent. |
| Pricing | Free (25 credits/mo), Starter $20/mo, Pro $200/mo. | Your existing agent plan. |
Based on public documentation, last verified October 14, 2026. Products change; check the sources for the latest. code.claude.com/docs/en/chrome · code.claude.com/docs/en/memory · learn.chatgpt.com/docs/browser?surface=app · github.com/browser-use/browser-use · blog.replay.io/web-debug-bench
Product names are trademarks of their respective owners and are used for identification only.
What your coding agent does well
Zero setup for a quick check
Ask your agent to click through the change it just made and it will. For a one-off check, that’s hard to beat.
It fixes in the same loop
The agent that finds the problem can edit the code immediately.
It can see the browser
Claude in Chrome reads console errors and DOM state. Codex’s browser can expose console output and network traffic.
What changes with Replay QA
Systematic, not ad hoc
Your agent tests what you ask about. Replay QA maps the whole app, runs every journey in parallel, and re-runs them on every PR, push or schedule, checking accessibility, performance and optionally security in the same pass.
Evidence that outlives the session
Each agent session starts with a fresh context. Replay QA records every session deterministically, so you, a reviewer or another agent can return to the exact failure later.
Runtime evidence improves fixes
On Web Debug Bench, 177 hard bugs in agent-built web apps, an agent with runtime access solved 76%; the same agent reading code alone solved 61%.
No harness to maintain
Prompts, browser tooling, CI wiring and schedules work at small scale, then become something your team maintains. Replay QA is the harness.
Use them together
Replay QA finds, your agent fixes
Replay QA files bug reports with root cause and a suggested fix. Your agent pulls them through the Replay MCP server, time-travel debugs the recording if it needs more, and applies the fix.
The loop closes itself
Ship the fix and Replay QA re-runs the same journeys to verify it and catch regressions.
Ask your agent directly if
- You want a quick check of one change you just made.
Choose Replay QA if
- You want every journey tested on every PR or schedule without babysitting it.
- You want a durable recording of each failure that any agent or reviewer can inspect.
- You want your agent working from a diagnosed root cause instead of a guess.
What you get
Bug reports your coding agent deserves
Each report is prepared with coding agents in mind. A detailed root cause analysis, a suggested fix, a deterministic runtime recording, and all the context needed to do the job.
Video recording
Watch the failure exactly as it happened.
Annotated screenshots
See where on the page things went wrong.
Root cause analysis
With a confidence score, so you know what to fix first.
Suggested fix
Ready for a coding agent to apply.
Frequently asked questions
Related: All comparisons
Test your web app today
Paste a URL or connect a GitHub repo. Free includes 25 credits a month, and an average app uses about 20 credits per full QA run.