AI coding agents are becoming easier to use, but the workflow around them can still be fragmented.
A request starts in Slack. The context gets copied into an agent interface. Progress is tracked somewhere else. The final PR appears in GitHub, sometimes without an obvious connection to the original discussion.
A more organized approach is to connect these steps.
Example workflow:
One detail worth remembering: the GitHub integration that links PRs and the repository access used by coding Agents are separate configurations.
Official references:
https://sharkly.ai/features/integrations/
https://help.sharkly.ai/docs/integration/slack
A request starts in Slack. The context gets copied into an agent interface. Progress is tracked somewhere else. The final PR appears in GitHub, sometimes without an obvious connection to the original discussion.
A more organized approach is to connect these steps.
Example workflow:
- Capture the relevant Slack message.
- Create a tracked Task from it.
- Keep the thread linked to the Task.
- Assign a coding Agent with access to the required repository.
- Let the Agent work in its configured environment.
- Link the GitHub PR to the Task using the Task ID.
- Have a developer review the PR.
One detail worth remembering: the GitHub integration that links PRs and the repository access used by coding Agents are separate configurations.
Official references:
https://sharkly.ai/features/integrations/
https://help.sharkly.ai/docs/integration/slack