AgenticOps
What is AgenticOps?
AgenticOps is both a methodology and an ecosystem platform, operating model, and protocol. The "Agentic" component encompasses the entire workflow: starting from Prompt, where user requirements are proposed; moving to Code, where intelligent programming is performed via copilots or coding agents; entering Build for agent construction; proceeding to Test for automated agent code validation (e.g., UT agents); then Release for agent publication; Deploy to private, public, or hybrid environments; followed by Operate to continuously collect user behavior and development data; advancing to Retrain for iterative model refinement (core enterprise assets); and finally returning to Prompt to activate the new model.
About AgenticOps
AgenticOps comprises eight standardized stages: Prompt、Code、Build、Test、Release、Deploy、Operate、and Retrain. These stages form a closed-loop system.
- Prompt: Users express business needs or intent through textual input, which the system interprets and parses.
- Code: Intelligent programming tools or coding agents automatically generate code based on parsed requirements.
- Build: Generated code is integrated into executable agents.
- Test: Agents undergo automated testing (e.g., UT agents), including test case generation and behavioral/performance evaluation.
- Release: Agents are packaged and published, ensuring component integrity and pre-deployment verification.
- Deploy: Agents are deployed to target environments (private, public, or hybrid clouds).
- Operate: Continuous monitoring of agent performance, collecting user interaction data, system logs, and metrics.
- Retrain: Operational data refines and optimizes AI models. Enhanced models feed back into the Prompt stage, driving a new development-optimization cycle.