thrumeBring the bug report
into your coding agent.
Stop rebuilding a bug report inside a chat. Connect your assistant to Thrume, point it at the failure, and let it retrieve the screenshots and selected logs that help you decide the next step.
Your assistant should see the issue, too.
Point a compatible assistant at a recording through your authorized MCP connection. Start with the moment you want to understand.
Trade the pasted summary for captured context.
Your assistant can retrieve the available recording context and selected debugging evidence. Give it material to inspect, without rebuilding the report by hand.
A better starting point for the next fix.
Use the captured facts to narrow an investigation and identify the next check. Your agent works in its own environment; you decide what to run or change.
“Investigate the failed invitation at 00:24.”
Start at the failed request.
The screen and browser evidence align at 00:24. Check the server logs for that request before drawing a conclusion.
From a vague report
to a focused next check.
A compatible assistant can inspect the context you authorize. Here is what a grounded response could look like.
“Look at the failed invitation around 00:24. What do we know, and what should I check next?”
The request failed.
The cause still needs checking.
The recording shows the invitation error at 00:24. The selected browser evidence records HTTP 500 for the invite request at that moment.
Inspect the example evidence
- Screen · 00:24
- “Invitation could not be sent.”
- Browser · 00:24
- POST /api/invites → HTTP 500
- Reporter · 00:26
- Expected an invitation confirmation.
Synthetic example, not a live AI response or a verified fix. Evidence availability depends on what was captured. Your assistant works in its own environment and under its own data policies.
Ask about the failure your teammate recorded.
Give your assistant a recording and a moment to investigate. It can retrieve screenshots and captured events, plus a transcript when one has been generated, so the conversation starts with evidence.
- Find the recording about the failed invitation.
- Inspect the screenshot and errors around 00:24.
- Draft reproduction steps with references to the recording.
- Identify the next checks and the evidence still needed.
Keep the investigation beside your code.
Use AI connections in Thrume to set up Cursor, VS Code, Codex, Claude Code or Claude. Setup links, copyable commands and guided instructions take you through authorization and your first evidence request.
Give the next check something to stand on.
A failed request, its timestamp and the visible outcome give your assistant specifics to reason from. Ask it to separate observations from hypotheses, then investigate or change code in your own environment. You decide what to test and whether the fix works.
Authorize the handoff.
Choose the assistant you connect. It retrieves recordings under your workspace and recording permissions, and processes that evidence under its own policies. This connection has separate consent from Thrume-hosted transcription and summaries.
Give your agent
a better starting point.
Native Mac recording.
Shared understanding, everywhere.