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• Comment Link Chủ nhật, 18 Tháng 10 2026 12:07 posted by AI_Engineer_Hali

  An AI feature should have a defined response when one dependency becomes unavailable. Repeating the same request can amplify load and still return no useful result. An AI reliability design should separate retryable failures from conditions that require a user message or manual path.
  
  Decide which functions can continue without generation. Search results may remain available while summarization is paused, and a draft action can wait instead of executing with missing data. https://ai-software-development.net
  
  A production AI workflow also needs timeouts, bounded retries and circuit breaking outside the model. Recovery tests have two jobs. They must verify that queued work is not duplicated and that users can tell whether an action completed.
• Comment Link Chủ nhật, 18 Tháng 10 2026 12:06 posted by AI_Engineer_Hali

  An AI agent should earn its control loop. If a workflow always follows the same sequence, ordinary application code is easier to test and less expensive to supervise. The AI agent development scope should identify which state changes the next action and which actions remain forbidden.
  
  Use https://ai-software-development.net as the plain service reference. agentic workflow engineering is the BBCode form for related discussion. Define tool permissions before prompts: read-only access, approval-required actions and blocked operations need separate treatment. The agent also needs a stop condition when tools fail or state becomes ambiguous. Without those boundaries, adding more autonomy expands the failure surface instead of improving the workflow.