How to Reduce Technical Debt in Agile Projects

Reduce technical debt in agile projects by making consequential debt visible in the same ordered backlog as product work, agreeing on a testable Definition of Done, and keeping changes small enough to integrate and verify frequently. Repay the debt that is causing rework, slowing planned changes, or increasing reliability, security, or operational risk. Use delivery evidence and retrospectives to check whether the intervention helped.

There is no Scrum rule that requires a separate technical-debt backlog or reserves a fixed percentage of every sprint for debt work. The team and Product Owner should make the trade-offs visible and order work according to its impact.

1. Make technical debt visible and specific

“Technical debt” is too broad to prioritize by itself. Record the concrete behavior, component, or workflow that is making future work harder. Describe what happens today, the consequence of leaving it alone, and a practical next step. When available, link repeated rework, incidents, blocked changes, or relevant test failures as evidence.

Keep confirmed defects and security exposures distinct from maintainability concerns and speculative redesigns. A security issue may need immediate risk handling; an untidy area without a demonstrated consequence may rank lower. Use the same work-tracking system and prioritization discussion as other product work, so stakeholders can see the trade-off.

Backlog field	What to record
Scope	Component, behavior, or workflow affected; keep the boundary concrete.
Observed impact	Examples such as repeated corrections, slow changes, incidents, or blocked work.
Risk of delay	Likely reliability, security, delivery, or operational consequence if deferred.
Smallest useful step	A reversible change, investigation, test, migration, or other next action.
Evidence	Related work items, incidents, regressions, or delivery observations where available.

The Scrum Guide calls the Product Backlog “the single source of work undertaken by the Scrum Team.” It describes an emergent, ordered list; it does not prescribe a separate debt backlog. Teams may use labels or views to find debt items, but keep their priority visible alongside feature work. Scrum Guide, November 2020.

2. Prioritize debt by consequences, not by age or code volume

Compare debt work with product work by asking what happens if the team waits. A useful ordering considers:

Risk reduced: Will the change lower a real security, reliability, or operational exposure?
Recurring rework removed: How often does the problem cause corrections, repeated investigation, or incidents?
Upcoming product work: Does the debt block or make a planned change significantly more expensive?
Feedback quality: Would the change make builds, tests, review, or diagnosis faster and more reliable?
Intervention size and reversibility: Can a small, safe step reduce the cost without a speculative rewrite?
Dependencies: Does the fix require coordination or sequencing across teams?

Discuss these points with the Product Owner and Developers, then order the backlog. “This module is old” is not enough on its own; a specific example of repeated failures or blocked work gives the team a basis for a decision. The right ranking depends on the product and evidence. A 2021 survey of 184 practitioners reported that practices for verifying and maintaining the structure and clarity of implemented artifacts were particularly helpful for reducing debt, while competing stakeholder interests remained a concern. This is survey evidence, not causal proof or a representative estimate of all teams. Technical debt and agile software development practices and processes: An industry practitioner survey.

3. Agree on a quality floor in the Definition of Done

A Definition of Done is a shared, checkable quality commitment for completed work. The Scrum Guide says an Increment must meet the team’s Definition of Done. Set criteria that match the product and its risks instead of adopting an identical checklist for every team.

Depending on the product, a practical quality floor may require:

Appropriate automated tests for changed behavior.
Relevant build, test, dependency, or security checks to pass.
Review of the change and its risks.
Operational, configuration, or documentation updates where needed.
A plan for data migration, rollback, or compatibility when the change affects them.

Make each criterion observable. “Good quality” is hard to verify; “the required tests pass and the migration has a rollback path” can be checked. Adjust the Definition of Done when incidents, rework, or changes reveal a missing safeguard.

4. Prevent debt from compounding with small, frequent integration

Long-lived branches and large batches delay feedback and make regressions harder to locate. Integrate into a shared mainline frequently, automate builds and tests, and make a broken build visible and a priority to repair. Keep changes small enough to review and diagnose. Small changes do not eliminate defects, but they reduce the amount of work that can be involved when one appears.

DORA’s Continuous Integration guidance connects frequent integration and small batches with rapid feedback. It identifies long-lived branches, slow tests, manual build steps, and delayed repair of broken builds as common pitfalls. DORA says tests should take a few minutes and cites about 10 minutes as an upper limit in its guidance; treat that as guidance to improve feedback, not a universal law for every suite. DORA: Continuous integration.

Integrate changes into the shared mainline frequently.
Run automated builds and relevant tests on changes.
Keep feedback fast enough for the author to act while the change is fresh.
Make failures visible to the team and restore a broken build promptly.
Review recurring delays, flaky tests, and manual steps as debt candidates with a concrete impact.

Continuous delivery means keeping software in a deployable state and reducing release risk. It does not mean every change must deploy automatically to production. Deployment frequency alone does not repay debt; increasing it without improving the process and architecture can raise failure rates and burnout. Map where work waits or returns for correction before selecting a tool or redesign. DORA: Continuous delivery.

5. Repay debt in small, useful slices

When debt is worth addressing, define the smallest safe step that changes its consequences. That might be adding a characterization test before changing legacy behavior, removing one repeated source of rework, replacing a fragile manual step, or narrowing an interface that blocks planned work. Make the expected effect explicit so the team can inspect it later.

Avoid broad rewrites justified only by code age or a general desire to “clean up.” A local, measured intervention is easier to review and reverse. If a larger redesign is needed, break it into stages with usable checkpoints, explicit risks, and a way to verify behavior along the way.

6. Use retrospectives to address recurring causes

Use the retrospective to find patterns behind debt, such as unclear standards, fragile tests, repeated merge conflicts, manual release steps, or one component repeatedly generating rework. Choose a high-impact improvement, assign a concrete next step, and inspect the result. The Scrum Guide frames the retrospective around improving quality and effectiveness and allows impactful improvements to be addressed promptly or added to the Sprint Backlog.

Focus on changing the conditions that create or preserve debt. If an item keeps returning because reviews are overloaded, tests are unreliable, or requirements arrive late, closing cleanup tickets alone will not fix the cause.

7. Check whether the change improved delivery

Choose a few measures related to the problem before making the intervention. Use them to diagnose the workflow, not to reward ticket volume or turn one code metric into a measure of all technical debt.

Problem	Useful evidence to inspect
Changes wait too long	Elapsed time through review and testing; separate waiting time from active work.
Work often needs correction	Items sent back, recurring rework, or unplanned fixes.
Builds fail or feedback is slow	Test duration and reliability; time to recover a broken build.
Changes cause incidents	Recurring defects, change failures, or relevant reliability signals.
A planned change is blocked	Whether the change became easier to implement and release after the fix.

DORA’s value-stream mapping guidance asks teams to distinguish elapsed time from value-add time and examine work that is sent back because it was not right the first time. Map the relevant path with the people doing the work, identify the bottleneck, then inspect whether the intervention changed it. DORA: Value stream mapping.

How should we prioritize technical debt in the backlog?

Put meaningful debt items into the ordered product work, with enough detail to compare their likely cost of delay against feature work. Rank security, reliability, recurring rework, and blockers to planned changes according to evidence and consequences. Include a small next step so the item can be refined or delivered without committing prematurely to a large rewrite.

Should technical debt be a separate backlog?

Scrum does not require one. A team can use a label, filter, or view for visibility, but a separate queue can hide trade-offs if it is disconnected from the ordered work. Keep the team’s actual priorities in one place.

How much sprint capacity should we reserve for technical debt?

Scrum prescribes no fixed percentage. A team can experiment with a capacity allocation if its context supports that choice, then review whether it reduces the problems it targeted. Do not treat a percentage as a universal rule or substitute it for prioritizing specific debt by impact.

How can we prevent technical debt from building up?

Set a Definition of Done that fits the product, integrate small changes frequently, automate useful checks, and respond promptly when the shared build breaks. Use retrospectives and delivery evidence to correct recurring causes such as slow feedback, manual steps, or unreliable tests.

What to avoid

A fixed debt budget presented as a Scrum rule: the Scrum Guide does not set one.
Cleanup counts as the success measure: closing tickets does not show that delivery, reliability, or rework improved.
Debt means messy code only: debt can also appear in legacy systems, tests, release processes, dependencies, or other impediments to change.
More tools or deployments as the whole solution: tooling and deployment frequency do not replace sound technical and process practices.
Speculative rewrites: prefer a local improvement tied to a specific risk or cost, and stage larger work so behavior stays verifiable.

Common questions

Is technical debt always bad?

No. The term describes a cost or risk that can make future change harder. The useful decision is whether that consequence justifies repayment now, given other product work and the cost of the fix.

Should every refactor get its own backlog item?

No. Track it when the work is large enough to estimate, prioritize, or coordinate, or when visibility is needed to manage a real consequence. Small improvements can be part of delivering a feature and meeting the Definition of Done.

Does continuous integration mean continuous deployment?

No. Frequent integration and automated feedback support reliable delivery. Automatically deploying every change to production is a separate choice and may not fit every product.

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