With tech debt identified, it’s time to do something about it. You might think a big clean-up project is the way to go. But these can cause more problems than they solve. First, they slow delivery down in the short-turn, and when the pressure ramps up they’re deprioritised. While debt might diminish initially, it continues to accumulate, and before you know it, you’re back to square one.
What you need is a continuous system-level approach that reduces tech debt without slowing things down. Here are four steps that make a difference:
1. Build debt reduction into your workflow
It’s time to shift left and address tech debt issues earlier in your software delivery life cycle. To do this, you’ll need to embed automated testing, implement comprehensive security checks, and set up code quality gates. This makes “doing the right thing” the default, rather than something that’s easy to sacrifice over speed.
2. Standardise your pipelines
The trick here is to reduce variability and increase simplicity by providing reusable templates and shared pipeline components. Put the work in now and you’ll benefit from less maintenance, fewer errors, and faster onboarding for your new hires.
3. Reduce handoffs and manual processes
If you know a lot of bottlenecks are being caused by length approval processes and cross-team dependencies, it’s time to tackle them. Move towards self-service workflows and automation-centric processes that minimise handoffs.
4. Tackle the worst debt first
Assess all your tech debt and prioritise where you’re going to focus your efforts, looking at the impact the debt has on delivery speed and the frequency of issues arising from it. Areas to concentrate on include pipeline bottlenecks, flaky tests, and deployment failures.