Tracking and Managing Technical Debt in the ITERATE Tab

Technical debt is the hidden cost of shortcuts taken during development — workarounds, outdated dependencies, missing tests, or architectural decisions that made sense at the time but now slow your team down. Agiloop's AI-powered technical debt tracking, found in the ITERATE tab, helps you surface these issues automatically, understand their impact, and turn them into actionable improvements on your feature list.

What the Technical Debt Section Shows

The technical debt section displays debt items identified through AI analysis of your project's codebase and architecture. Each item describes a specific area of concern, explains why it matters, and offers a recommendation for how to address it.

Debt items are organized by severity level, so your team can focus on what matters most:

• Critical — Debt that poses an immediate risk to system stability, security, or your ability to ship new features. Address these as soon as possible.
• High — Significant issues that are slowing down development or creating fragility. These should be planned for in the near term.
• Medium — Moderate concerns that add friction over time. Worth addressing as bandwidth allows.
• Low — Minor inefficiencies or code quality issues. These can be deferred but are good candidates for cleanup sprints.

Note: The severity levels reflect the AI's assessment of risk and impact based on your codebase. You know your project best — use your judgment when prioritizing.

Triggering a Technical Debt Assessment

An assessment does not run automatically on a schedule; you can kick one off whenever you want a fresh analysis.

1. Open your project and navigate to the ITERATE tab.
2. Locate the Technical Debt section.
3. Select the option to run a new assessment.
4. The AI will analyze your project and populate the list with identified debt items, grouped by severity.

Assessments are useful to run after a significant build cycle, before planning a new sprint, or any time your team suspects accumulated debt is affecting velocity.

Reviewing Assessment Recommendations

Each debt item includes a description of the problem and a recommendation for how to resolve it. To review an item:

1. Click on any debt item to expand its details.
2. Read the AI's explanation of the issue — what it is, why it was flagged, and what impact it may have.
3. Review the recommendation, which typically suggests a concrete improvement such as refactoring a module, upgrading a dependency, or adding test coverage.

Use the severity groupings to work through items systematically. Starting with Critical and High items ensures you are addressing the most impactful debt first.

Note: Recommendations are AI-generated suggestions, not mandatory tasks. Your team should evaluate each one in the context of your current goals and roadmap.

Removing or Dismissing Debt Items

Not every flagged item will be relevant or worth acting on. If a debt item does not apply to your situation — perhaps it has already been resolved, or the team has decided to accept the risk — you can remove it from the list.

1. Find the debt item you want to dismiss.
2. Select the option to remove it.
3. The item will be cleared from your active debt list.

Keeping your debt list tidy ensures the remaining items are ones your team is actively monitoring, making it easier to stay focused.

Converting Debt Recommendations into Features

When a debt item represents real work your team wants to schedule, you can convert it into a feature on your feature list with a single action. This is the most direct way to ensure technical debt gets planned and prioritized alongside your product work.

1. Open the debt item you want to act on.
2. Select the option to create a feature from the recommendation.
3. Agiloop will add a new feature to your project's feature list based on the debt item's details.
4. From there, you can open the feature, refine its specification usi
5. ng the AI interview tools, assign it a status, and include it in your planning.

This workflow bridges the gap between identifying debt and actually resolving it — the debt item becomes a first-class feature that can be estimated, queued, and built like any other item on your roadmap.

Note: Features created from debt items start in the same backlog as any other feature. You can drag them into priority order, add them to a bundle.

Tips for Managing Technical Debt Effectively

• Run assessments regularly. Technical debt grows over time. Re-running an assessment after major build cycles keeps your list current.
• Use severity as a starting point, not a final verdict. Discuss flagged items with your engineering team to validate impact before scheduling work.
• Convert high-priority debt into features promptly. Debt that sits on the list without a plan tends to stay there. Creating a feature signals intent and keeps it visible in your planning process.
• Keep dismissed items deliberate. Only dismiss items your team has consciously decided to defer or accept — not items that are simply inconvenient to address.

Related Articles:

• How to Create and Track Product Goals in Agiloop
• How to Use the INSPECT Tab to View Feature Analytics
• How to Analyze User Journeys in the INSPECT Tab
• Using the Work Breakdown Feature