# Generating AI Status Reports in Remocode
When an AI coding agent works on a complex task, it can be hard to know exactly where things stand. Remocode's status command solves this by generating an AI-powered progress report from your terminal activity.
How Status Reports Work
The status command captures recent terminal output, including the activity of any detected AI coding agents, and sends it to your Chat Model along with a configurable prompt. The AI analyzes this context and produces a structured progress report.
The report typically covers what has been completed, what is currently in progress, any errors or blockers encountered, and what likely comes next. All of this is inferred from the terminal output rather than requiring manual input from you.
Running a Status Check
Simply invoke the status command from the AI Panel or through Remocode's command interface. The report generates in seconds and appears in the AI Panel chat.
You can run status checks as often as you like. They are particularly useful when:
- ●You step away and return to a session where an agent has been working
- ●You want to brief a colleague on progress without reading through terminal logs
- ●You are managing multiple agents across different panes and need a quick summary
- ●You are about to take a break and want to document current state
Customizing the Status Prompt
The default status prompt works well for general progress tracking, but customizing it in the Commands tab lets you focus on what matters most to your workflow.
For feature development, modify the prompt to emphasize completed functionality, remaining tasks, and test status. Ask it to estimate completion percentage.
For debugging sessions, tailor the prompt to focus on hypotheses tested, errors encountered, and root cause analysis progress.
For code review preparation, have the prompt summarize changes made, files modified, and potential areas of concern.
For deployment workflows, customize it to track build status, migration state, and pre-deployment checklist items.
Status Reports and the Monitor Model
The Monitor Model plays a supporting role in status reports. While the Chat Model generates the actual report, the Monitor Model continuously tracks terminal activity in the background, providing richer context for the report.
Using a cheap Monitor Model like Claude Haiku 3.5 or a Groq model for background tracking keeps costs low while ensuring the status command has comprehensive context to draw from.
Integrating with Standup Reports
The Standup tab in AI Settings lets you schedule automatic status reports. Configure the schedule and Remocode will generate reports at the specified times, compiling a summary of everything that happened since the last report.
Standup reports are ideal for:
- ●Morning summaries of overnight agent work
- ●End-of-day progress documentation
- ●Regular updates for team standups
- ●Sprint progress tracking
Forwarding Status to Telegram
Combine status reports with Telegram integration for remote monitoring. Scheduled standup reports can be sent directly to your Telegram, giving you progress updates on your phone. This is especially valuable when you leave AI agents running overnight or during meetings.
Tips for Better Status Reports
Keep terminal context clean. The status command works best when your terminal output is focused. Excessively noisy output with irrelevant logging can dilute the quality of the report.
Run status at transition points. The most useful time for a status check is when an agent finishes one phase and starts another. This captures a clear snapshot of what was accomplished.
Compare reports over time. Running status at regular intervals creates a timeline of progress. Reviewing these reports reveals patterns in how your agents work and where bottlenecks occur.
The status command transforms opaque terminal activity into clear, actionable progress reports. It keeps you informed without requiring you to parse through pages of terminal output.
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