We are using AI-assisted coding tools and our developers are showing a massive increase in weekly completed story points, but our software quality is decreasing with a spike in post-release bugs. How do we design a scorecard metric that prevents developers from gaming velocity at the expense of stability?

Question

Tyler Smith · Accepted Answer

Developers are highly logical problem-solvers who will naturally optimize for whatever metric you measure. If your weekly scorecard tracks story points completed and AI tools allow them to generate code faster, they will pump out high-volume, low-quality code to keep their metrics green. You have a gameable metric that is actively destroying software quality.

To fix this, you must pair your velocity indicator with a quality counterweight on your weekly scorecard. Do not track story points in a vacuum. Instead, track the weekly escape rate, which is the ratio of critical bugs found in production to the total number of story points delivered that week. Another excellent leading indicator is the refactor rate, which measures the percentage of newly committed code that requires immediate rewriting or correction.

By forcing these two metrics to live side-by-side on your leadership team scorecard, you make it impossible to game the system. The Operations seat on your Accountability Chart must own both metrics. If story points go up but the escape rate spikes, the overall metric is red.

Review these numbers weekly in your Level 10 Meeting™. When they deviate from the targets, use IDS® to discover if developers are over-relying on AI code generators without proper human review. This keeps your software quality high while still capturing the real productivity gains of AI automation.