Imagine assigning an AI coding agent a bug that needs to be investigated every morning. The agent can inspect the repository and prepare a report. But who checks whether the report is correct? Who decides whether a fix should be implemented? And where does the team follow the work? This is why I think AI coding agents need to be managed within a clear project workflow. A useful process could look like this: A developer creates a task with acceptance criteria. An agent receives the task. The agent executes it in a configured development environment. Progress and blockers remain visible. A developer reviews the result. The task is accepted or sent back for changes. Scheduling can add another layer: recurring maintenance, code checks, or reports can be triggered automatically. Sharkly.ai combines a task-management environment with Agents and Automations. It supports scheduled and event-triggered work while keeping people involved in review. Would your team allow coding agents to execute tasks automatically, or would you require human approval before every significant change? en-US(C) Copyright 2006-2026 Inflectra Corporation.support@inflectra.com/Computers/Software/Project_Management//Computers/Software/Quality_Assurance/KronoDesksupport@inflectra.comhttp://www.inflectra.com/kronodesk/forums/threads120/Support/Forum/spirateam/best-practices/3305.aspxthreadId=3305D Lucc (lucd180@proton.me) Imagine assigning an AI coding agent a bug that needs to be investigated every morning. The agent can inspect the repository and prepare a report. But who checks whether the report is correct? Who decides whether a fix should be implemented? And where does the team follow the work? This is why I think AI coding agents need to be managed within a clear project workflow. A useful process could look like this: A developer creates a task with acceptance criteria. An agent receives the task. The agent executes it in a configured development environment. Progress and blockers remain visible. A developer reviews the result. The task is accepted or sent back for changes. Scheduling can add another layer: recurring maintenance, code checks, or reports can be triggered automatically. Sharkly.ai combines a task-management environment with Agents and Automations. It supports scheduled and event-triggered work while keeping people involved in review. Would your team allow coding agents to execute tasks automatically, or would you require human approval before every significant change? Mon, 09 Nov 2026 10:28:21 -05002026-11-09T10:28:21-05:00/Support/Forum/spirateam/best-practices/3305.aspx