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Technical Debt

What technical debt is and why it matters

Definition

Technical debt is the implied cost of future rework caused by choosing faster, less thorough approaches during software development instead of more thorough ones. It includes outdated dependencies, missing tests, duplicated code, poor architecture decisions, and undocumented systems. Like financial debt, technical debt compounds - small shortcuts accumulate into significant barriers to feature development, reliability, and team productivity.

How it works

Some technical debt is intentional and strategic. Cutting corners to ship an MVP faster makes sense when you are validating a hypothesis. You are trading code quality for speed, and that is a reasonable investment if you plan to pay it back. The problem is when teams accumulate debt unconsciously or never pay it down.

The symptoms of high technical debt are visible in team velocity. Features that should take days take weeks. Simple changes break unrelated parts of the system. New engineers take months to become productive because the codebase is hard to understand. Deployments are scary because there are no tests. Eventually, the team spends more time working around the debt than building new features.

Managing technical debt is not about eliminating it - that is impractical. It is about tracking it, prioritizing it, and paying it down continuously. The most effective approach is allocating 15-20% of each sprint to debt reduction, focusing on the areas that create the most friction for current work. Rewrite-from-scratch projects almost always fail. Incremental improvement works.

How 1Raft uses Technical Debt

When we inherit a codebase, we start with a technical debt audit: we map the high-friction areas, quantify the risk, and prioritize fixes by business impact. In a commerce project, reducing technical debt in the checkout flow cut deployment time from 4 hours to 20 minutes and eliminated the recurring production incidents that were costing $30,000/month in lost sales.

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