KodeGauge - Technical Debt & Security Exposure quantified in Dollars

After spending two decades building enterprise software, I've seen first hand the true cost of technical debt — not just in dollars, but in burnt-out engineers, missed deadlines, and products that couldn't scale when it mattered most. Here's what I also noticed: developers hate fixing technical debt. It's old code, someone else's decisions, no glory in it. So it gets deferred. Sprint after sprint. Until it breaks something important. Then AI coding tools arrived and changed everything. What used to take a year to accumulate is now happening in days. Copilot, Claude Code, Lovable, Bolt — incredible tools that let developers and non-technical founders ship at unprecedented speed. But speed without visibility is dangerous. The technical debt, security vulnerabilities, and architectural risk that used to build up slowly are now piling up faster than any team can see. I watched non-technical founders build entire products with vibe coding tools — working products, real users — with no idea whether their code was secure, scalable, or carrying hidden liabilities. I spoke with PE firms acquiring companies blind because technical due diligence takes three weeks and costs $100K. I saw engineering leaders who couldn't justify a debt sprint to their CFO because nobody could put a dollar figure on what the debt was actually costing. That's why I built KodeGauge. Not another code scanner. Not another list of warnings nobody acts on. A platform that scans your codebase and answers the questions that actually matter: What does this cost? What's at risk? What do I fix first? We started as DebtZer0 — purely focused on technical debt. Then an investor told me something that changed everything: 'Nobody cares about technical debt until it breaks.' He was right. So we pivoted. KodeGauge now delivers full repository intelligence — health scoring, cost quantification, infrastructure analysis, security exposure, and AI-generated fixes — all in plain English, for every stakeholder in the room. If you're a developer shipping with AI tools, a founder heading into a funding conversation, an engineering leader trying to justify a debt sprint, or a PE firm about to acquire a technology company — KodeGauge was built for you. Would love to hear your experiences with technical debt and AI-generated code in the comments. What's the worst technical debt story you've lived through?