What this case covers
Author Zhang Lixing shares his practice of using Coding Agent, covering Token consumption monitoring, the boundary between Skills and programmatic services, Agent self-repair systems, and tiered model invocation and industry implementation judgments.
Questions it answers
- During the Token freebie period, what long-term assets should be accumulated?
- How should the boundary between Skills and programmatic services be drawn?
- How can the system dispatch Agents to fix failures on its own?
- How should different models be assigned and invoked?
- How can industry experience be combined with Agents for amplification?
Our observations
- After high-frequency repetitive scenarios are programmed, the marginal cost is far lower than Agent handling on the spot
- Assigning code writing and code review to different Agents is the prerequisite for controllable automation
- Industry know-how is the part most lacking in Agent training data
From the author
The more frequently a scenario is used, the less it should continue to rely on Agent handling on the spot—instead, it should be turned into a program.