Tech debt has outgrown its old definition. The phrase used to mean legacy code, bad architecture, and the systems nobody wanted to touch. Modern tech debt is wider than that. It lives across the entire engineering stack: runtimes reaching end-of-life, infrastructure aging out of support, dependencies drifting out of compatibility, configurations rotting, services losing their owners. Managing all of it is no longer an engineering productivity issue. It has become a business liability.
AI made code creation cheap. Cloud complexity grew with it, and detection tools multiplied to keep up. But the work in between, the actual loop of lifecycle management that runs from identifying a maintenance obligation to proving it was resolved, never moved off spreadsheets, status meetings, and last-minute heroics. The cost shows up later, in missed deadlines, surprise outages, and audit findings.n efforts and ship the roadmap.
Draftt is the operating system for that loop. We turn detection into prioritized decisions, route routine maintenance work to the right owners across the engineering stack, and validate that every obligation was actually resolved. Engineering teams get back the time to drive modernization efforts and ship the roadmap.
Lifecycle management
The continuous work of keeping a modern engineering stack reliable, compliant, and current. It includes detecting maintenance obligations across infrastructure and code, prioritizing them by business impact, routing the work to the right owners, and proving each one was resolved.
The cost of producing new technology has collapsed. The cost of running and maintaining what gets shipped has not. Closing that gap is the work we’ve organized our company around.
You see it in cloud bills, compliance findings, security posture, modernization delays, and customer reliability metrics. Treating routine maintenance as a productivity problem is why nobody has solved it.
Every shipped feature creates a future lifecycle obligation: another service to operate, another runtime to track, another dependency to upgrade. The faster code ships, the more there is to maintain.
Scanners produce findings. Dashboards display status. Ticket queues track work after a decision has been made. None of them make the decision in the first place. That is the operating system that’s missing: the one that determines what matters, why, who owns it, and whether it actually got done.
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