The technical debt metaphor has taken the software world with storm. No wonder, since software projects have their fair share of challenges. Most organizations find it hard to prioritize and repay their technical debt. The main reason is due to the scale of modern systems with million lines of code and multiple development teams; No one has a holistic overview. So what if we could mine the collective intelligence of all contributing programmers and start to make decisions based on data from how the organization actually works with the code? This session introduces one such approach with the potential to change how we view software systems.