Your AI coding agent doesn't need a smarter model. It needs your backlog.

AI coding agents often fail not due to model limitations but a lack of comprehensive context from the product backlog and acceptance criteria. Providing the agent with a full understanding of the project's true state, rather than just isolated snippets, is crucial for its success and preventing errors.