Limits of the solution

What a shared system does not solve automatically

Observability and reproducibility create the conditions for engineering improvement, but they do not replace a good brief, security, or human judgment.

01

A bad task remains bad

The platform will preserve a weak brief and the error trace, but it will not turn a vague goal into a verifiable contract by itself.

02

Harness portability requires engineering

Operating systems, tools, licenses, and project-specific dependencies still have to be described and maintained.

03

A shared runtime has an infrastructure cost

Isolation, secrets, caches, observability, artifact storage, and updates become a separate area of responsibility.

04

Metrics can be optimized incorrectly

Minimum tokens, minimum elapsed time, and maximum one-shot rate do not equal quality if the system has learned to conceal rejections and risks.

05

Not every task needs the full ceremony

Chat is enough for a quick question; an Issue, trace, and complete artifact set are justified where handoff, repeatability, and the cost of error matter.

06

Human accountability does not disappear

An agent gains identity and permissions, but accepting architectural, product, and production risk remains a human decision.