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Overview

Give AI agents your Playwright results from CI to fix tests and prove changes, and have agents record screenshots, video and traces of their own work

An AI agent that works on your app needs to see what the app did, not only an error message. Currents gives the agent that data, and gives you links to check the agent's work.

If a CI test covers the change, start with Agentic testing: the agent works from the runs Currents already recorded, with their errors, steps, console and network logs, screenshots, videos, traces and history. If no test covers it, start with Agent evidence: the agent records what it did as a session, and gives you one link to review it.

Try it in two minutes

  1. Connect your agent to the Currents MCP server. See Connect your agent.

  2. Paste a prompt with a run from your project: "Tests are failing in CI. Get the details for run <runId> and fix the failures." The run ID is in the run's URL in the dashboard, after /run/.

  3. The agent reads the failure from Currents, fixes the cause, and runs the test again. See it in Fix failing CI tests.

What do you need?

You want to
Do you have a test for it?
Read

Fix a failing test, with its full failure context and history

Yes

Prove a change works, from the CI runs before and after

Yes

Share the recording of a CI run with a colleague or an agent

Yes

Prove a change works, with a recording of the browser before and after

No

Keep the logs and files of a task that is not testing

No

Let an agent read a Playwright trace in small steps

Either

Post what Currents recorded on a pull request, in Slack or on a Linear issue

Either

Give the agent the steps for one task, so the prompt stays short

Either

Find the flakiest and slowest tests, and when a test started failing

Either

Look up links, sessions, trace link routes or MCP tools

Either

Agents connect in Claude Code, Cursor, Claude, Codex, ChatGPT, your editor, or any other MCP client. See Connect your agent.

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