Technical debt results from relying on a short-term solution to a problem at the expense of efficiency in the long run. Its prime drivers are procrastinating, ignoring permanent solutions, or rushing to meet deadlines.
Ignored issues grow into bigger and more complicated problems that require re-engineering or larger technical efforts than planned. Technical debt can be as small as fixing a bug in a code or as big as transferring information technology (IT) architecture from legacy systems to modern technology. For example, any unaddressed code or architecture issue accumulates technical debt for engineers in the subsequent iteration.
To prevent this, many technology teams use static code analysis software to find bugs that might add to technical debt.
Engineers classify technical debts into two major types. Deliberate technical debt results from consciously not addressing an issue to meet tight deadlines. On the other hand, inadvertent technical debt results from carelessness or simply a lack of awareness.
This classification goes deeper to list four different categories of technical debt.
Technical debt is not always a bad thing. Sometimes, an occasional trade-off between time and quality becomes indispensable for development teams. It only becomes a concern when engineers ignore incurred debt or are unaware of it.
Surprisingly, a new stream of thought sees technical debt not as a problem but as an opportunity. Proactive monitoring, tracking, and management of technical debt help people evade future catastrophes and get an edge over their competitors.
Technical debt is helpful in specific critical scenarios that can make or break a business. These include:
A well-thought decision to take on debt with the availability of enough resources and knowledge to repay in a timely way makes debts essential and beneficial.
Companies choose to accumulate technical debt for four main reasons.
No fixed templates or frameworks of strategies for reducing technical debt will work for every business. Something that worked for an early-stage startup might not suit a corporate setup.
However, a few best practices can minimize technical debts.
In software engineering, technical debt is a tool for discussing trade-offs. It requires users to build something quickly that will be more difficult to maintain down the line. Over time, it costs more to maintain the sloppy infrastructure or code than it would have if it had been built correctly from the start.
Technical investment is the opposite of technical debt. By making technical investments, users can slow down now and accelerate later. Although it takes a while for teams to get used to the new tool, they will eventually be more productive.
Learn more about static code analysis to identify code errors before execution.