How auto-standup population works with coding agents
When a coding agent is connected to Dailybot (for example via your AI development tool or Dailybot’s agent integration), Dailybot can pull recent activity summaries — such as commits, pull requests, and progress notes the agent or connected services expose — and pre-populate standup-style check-in answers. You always review and submit; nothing posts as your final standup without your action unless your org configured otherwise.
Before you begin
- Your organization must have the integration or agent feature enabled and you must have completed any OAuth or workspace linking steps.
- The check-in should include questions that map to “what I did” / “what I’m doing” style prompts so auto-generated text has a clear place to land.
Steps
- Connect your coding agent or development tool to Dailybot using the in-product Integrations or Agents flow your admin provides.
- Authorize the scopes requested so Dailybot can read activity metadata (not necessarily full private code — follow the consent screen your org uses).
- Wait for the connection to show Active (or equivalent) in Dailybot settings.
- When a scheduled standup check-in opens, open the prompt in DM with Dailybot or the web check-in view.
- Look for Suggested answers, Draft from activity, or pre-filled text in the question fields tied to work logs.
- Read the draft. Remove anything inaccurate, add context the agent could not see (meetings, pairing, outages), and fix tone so it matches what you want the team to read.
- Submit the check-in as usual. Only submitted content appears in compiled reports.
What gets captured
| Source type | Often included |
|---|---|
| Version control | Commit messages, branches touched, repos |
| Code review | PR titles, review activity, merge status |
| Agent session | Summaries the agent recorded if your setup sends them to Dailybot |
Sensitive files and private snippets are not required for this feature; Dailybot uses summaries your integration is designed to share. If something looks wrong, disconnect or narrow scopes with your admin.
Review before submitting
Auto-population saves typing; it does not replace judgment. Treat drafts as starting text: delete hallucinated tasks, merge duplicate lines, and add blockers the tool cannot infer.
What to expect after
Each cycle may produce a fresh draft from the latest activity window. If a field stays empty, the integration may lack new data or the question type may not support suggestions for that prompt.