Title here
Summary here
Project understanding
The engineer must maintain a working mental model of the system. Coding agents can generate, modify, and explain code quickly, but they do not remove the need for human comprehension. In fact, they increase the need for it, because implementation velocity can exceed the engineer’s ability to evaluate whether a change is coherent.
A dangerous pattern is:
“I don’t fully understand this part yet, but the agent says it works.”
That can be acceptable for throwaway scripts, experiments, migration helpers, or isolated developer tools. It is not acceptable for core product code. Once the engineer loses the ability to judge the design, the agent can keep adding plausible abstractions, edge cases, classes, and rules until the system becomes incomprehensible.
So the principle could be:
Do not let the agent produce core system complexity faster than you can understand, review, and explain it.
Or more sharply:
For core product code, comprehension is part of correctness.
A useful distinction:
| Area | Required understanding |
|---|---|
| Throwaway scripts | Understand the contract and failure impact |
| Internal tools | Understand inputs, outputs, and operational risk |
| Core product logic | Understand architecture, invariants, tradeoffs, and failure modes |
| Evaluation harness | Understand what is being measured and what is not |
| Agent/RAG reasoning pipeline | Understand data flow, retrieval assumptions, ranking/eval logic, and semantic failure modes |
The key problem from your notes is that agents make it cheap to add code but not cheap to preserve understanding. That means technical debt is no longer just “bad design over time”; it becomes unreviewed complexity accumulating at machine speed.