The Agent Can Drive. You Still Need to Know the Route.
Many people want to hand over a repository and a goal to an AI agent and walk away. They want total delegation.
This is a trap.
The agent often does the work well. The problem starts when something breaks. The build fails or the behavior changes. The model starts going in circles. Now you have a problem.
If you do not understand what the agent built, you cannot fix it. You are looking at a stranger's code without a map.
Think of an AI agent like a junior developer. When a junior hits a wall, they come to you. You are their safety net.
When the agent fails, you are the only person left to catch the mistake. If you are also stuck, the work stops. You cannot be a second junior developer standing next to the first one.
The wrong question is "how much can I hand off?" The right question is "what must I understand to catch the error when it falls?"
You do not need to remember every line of code. That defeats the purpose of using an agent. You must instead understand the load-bearing parts:
• How data moves through the system. • Where the state lives. • The critical path of the logic. • How different parts of the system connect.
Test yourself with these two questions:
- Can I trace a single request from start to finish out loud?
- Can I guess where an error is before I paste it back into the model?
If you can answer yes, you can let the agent run. You can take control the moment it drifts.
If you answer no, you do not own the system. You are just renting it from an agent.
Let the agent drive to gain speed. But keep your hands on the skeleton of the system. You can delegate the typing. You cannot delegate being the last line of defense.
Source: https://dev.to/jaikora/the-agent-can-drive-you-still-need-to-know-the-route-274