AI tools have made it easy to vibe code agents. Building and maintaining an enterprise agent in production, however, remains significantly more challenging. In particular, developers are often forced to make a trade-off between quality (getting good answers, especially on long-tail tasks) and efficiency (keeping cost and latency in check at scale). Oftentimes, techniques bring gains in one dimension at the cost of another.