Managing Technical Debt: How to Keep your Tech Stack Healthy

For organizations leveraging software development to accelerate innovation,  technical debt is a persistent challenge, accounting for approximately 21% to 40% of IT spending.¹ While short-term development decisions support rapid delivery, they often introduce long-term inefficiencies that can accumulate across codebases, systems, and infrastructure, creating what engineers commonly call tech debt. 

Companies that rely heavily on software delivery are particularly vulnerable as unmanaged technical debt often increases security and compliance risks. 

This article provides an overview that helps explain technical debt, including examples, common causes and impacts of accumulation, and strategies organizations can use to manage it effectively.

What is Technical Debt? 

Technical debt refers to the future work that is created by opting for a quick fix in the present with the goal of shipping a product to the market faster. These shortcuts can speed up the delivery of a service, but typically introduce future costs that shortchange the reliability of your systems. According to Accenture’s 2025 Digital Core Report, tech debt costs companies $2.41 trillion in the United States each year.² 

Understanding technical debt in software development requires recognizing that it may take many forms across the lifecycle of development. Common technical debt includes trade-offs, like duplicated code in place of designed modules, harcoding solutions, or deferred automated testing. It’s important to understand the different categories of technical debt in order to predict the challenges they may pose and the best ways to address them strategically.

Design Debt

Suboptimal or rushed design decisions can compromise scalability or flexibility. Design debt can occur when teams intertwine components so much that one component failing causes a domino effect, which unleashes several system failures.

Code Debt

Code debt is often characterized by inconsistent coding practices, duplicated logic, or quick hacks implemented to meet deadlines. Unclear naming conventions, missing error handling, and functions that are too complex are other common forms of the debt that can make it difficult to implement future changes.

Architecture Debt

Architectural debt can be the most costly to address and include system-wide compromises that cannot easily scale or accommodate future changes, such as poor database design, mismatched technologies, and other inefficiencies.

Process Debt

Most teams regardless of industry have experienced process debt. It is comprised of confusing workflows, missing or inaccurate documentation, and failures to consistently follow a delivery schedule.

Test Debt

Teams accumulate test debt when they don’t implement the automated verification of code. Relying only on manual testing often leaves bugs undetected. 

Documentation debt

Documentation debt encompasses a team’s failure to document/update system information and guidelines, impeding developers from efficiently sharing knowledge and effective training.

Establishing a clear definition of technical debt and understanding the different types of technical debt are critical first steps towards effective quality management long term.

Intentional Technical Debt vs. Unintentional Technical Debt 

Ward Cunningham, a software engineer and writer, compared hastily developing software programs to accumulating financial debt.³ Like financial debt, technical debt can be strategic, but only when quick fixes are regularly followed with long-term, sustainable solutions. This way, development teams ensure that future development projects and releases won’t be hindered by forgotten tech debt that creates obstacles down the road.

Intentional Technical Debt 

Intentional technical debt occurs when a development team may knowingly take shortcuts to meet short term business deadlines or to accelerate deliverables. 

For example, an engineering team could temporarily rely on an older, internally-approved encryption module to release a critical security patch on time, rather than migrating over to a newer, more secure library. While the immediate need is met, this compromise introduces a predictable cost, and the upgrade must be completed later on to maintain long-term security with quality code that is easy to maintain. If this type of trade-off is left unaddressed, it can escalate into compounding tech debt that negatively impacts future development cycles.

Other examples of intentional technical debt:

• Shipping an early version of a feature with minimal or incomplete developer documentation.
• Hardcoding the configuration of a program so that it ships faster.
• Adopting a monolithic design for simplicity and speed.
• Building a feature flag system “well-enough” for launch.
• Delayed integration in cloud services to simplify identification.

Unintentional Technical Debt

Unlike intentional technical debt, unintentional technical debt arises from unforeseen errors or oversight in the development process that often accumulates unpredictably. Unintentional tech debt unknowingly creates maintenance challenges and increases operational risk. This may include poor coding practice, inheriting legacy systems from previous software development teams, or missing documentation. 

Unintentional technical debt examples: 

• Poor technical hygiene such as documentation debt, often after developers leave.
• Poor coding practices, like omitting notations explaining functions of code.
• Inefficient code written by inexperienced developers that goes un-reviewed.
• Inherited legacy systems that are behind on updates.
• Insufficient testing or monitoring, which causes poor practices in technical hygiene to accumulate unchecked.

Intentional technical debt is created knowingly to meet short‑term goals, with the expectation of later improvement. Unintentional technical debt stems from oversights, poor code quality, or legacy systems that accumulate unpredictably. While intentional debt can be strategic when managed, unintentional debt increases risk and the likelihood that future improvements and scaling will be too difficult to implement. 

What Causes Technical Debt? 

There are many reasons why a company may face constraints or gaps in engineering practices that can cause technical debt to accumulate over time. While some debt is intentional and strategically accepted, much of it accumulates unintentionally as systems evolve, teams grow, and business priorities shift. 

Here are some core factors that consistently contribute to the buildup of technical debt across industries: 

Deadline pressure and speed‑to‑market demands

When teams face aggressive timelines, they often prioritize delivering functionality over building maintainable, scalable solutions. This leads to shortcuts such as skipping refactoring, reducing test coverage, or implementing temporary fixes that later become permanent. Research published in Information and Software Technology highlights time pressure as one of the strongest predictors of technical debt accumulation, reinforcing how common this trade‑off is in fast‑paced development environments.⁴

Lack of engineering standards

Without shared coding guidelines, architectural patterns, or regular code reviews, teams diverge in how they build software. Over time, this inconsistency results in duplicated logic, incompatible modules, and systems that are difficult to integrate. Organizations with rapid team growth or distributed engineering groups are especially prone to this form of debt.

Legacy systems and outdated technologies

Older systems often consist of obsolete frameworks and undocumented behavior. Because modernizing outdated systems is costly and risky, organizations frequently postpone upgrades, allowing debt to compound. Legacy technology is one of the primary drivers of long‑term technical debt and modernization challenges. 

Read also: Legacy Application Modernization: A Step-by-Step Guide

Insufficient testing, poor documentation, and gaps in tooling.

Limited testing and monitoring allows defects to pile up, missing documentation leads to repeated mistakes, and manual processes introduce errors that automation could prevent. These issues often stem from resource constraints or competing priorities.

Together, these factors illustrate that technical debt is rarely the result of a single decision. Instead, it emerges from the classic tension between delivering quickly and building sustainably.

Potential Impacts of Technical Debt on Development Teams

Unmanaged technical debt has far‑reaching consequences for software development teams, and it affects more than the quality of code or services provided, negatively impacting team productivity, morale, delivery timelines, and overall system stability. 

While some debt is inevitable, allowing it to accumulate unchecked can lead to significant technical debt that hinders an organization's ability to innovate and scale, which is why it is vital to design monitoring systems to address these issues regularly. Below are the most common and well documented consequences: 

Increased Bugs, Defects, and System Fragility 

As technical debt accumulates, codebases become harder to understand, modify, and test. This leads to more defects, regressions, and unpredictable behavior. More shortcuts can lead to more technical errors. Overall bugs negatively impact both users and developers.

Impact: Teams spend more time putting out fires than building new features. Addressing these emergencies rightfully takes precedence over new projects, which slows innovation over time. 

Slower Delivery and Longer Lead Times 

Compounding technical debt becomes more complex, causing simple fixes to turn into multiple days of troubleshooting and maintenance.

Impact: Delivery timelines slip, roadmaps stall, and the organization becomes less competitive.

Developer Burnout and Turnover

Working in a high-debt environment can be frustrating for developers. If engineers spend more time repairing issues than building new capabilities, innovation and morale erode. 

Impact: Teams lose talent, institutional knowledge disappears, and onboarding new engineers becomes harder.

Decreased Team Agility and Innovation Capacity

The buildup of debt makes it more difficult for systems to change, and teams lose the ability to respond quickly to market demands. 

Impact: The organization becomes less adaptable, less innovative, and slower to seize new opportunities.

Decreased Customer Satisfaction and Product Quality

Technical debt directly affects the end-user experience via slower performance, frequent outages, and delayed feature delivery. Unresolved debt impacts user experiences by compromising overall product reliability and the company’s reputation.

Impact: Customers experience more issues, churn increases, and the product loses competitive edge.

Summary of Key Impacts

• More bugs and defects → lower stability and higher risk.
• Slower delivery → missed deadlines and stalled roadmaps.
• Higher costs → reduced ROI and increased maintenance burden.
• Developer dissatisfaction → burnout, turnover, and lost knowledge.
• Lower customer satisfaction → degraded product quality and trust.
• Reduced agility → inability to innovate or respond to change.

Clearly, the impact of technical debt is more than a code-level inconvenience. It is an organizational risk that affects delivery performance, team health, customer experience, and long-term credibility. Teams constantly tasked with maintenance begin to slow down allowing for even more technical debt to accumulate, especially in teams with high turnover, causing future work to become more expensive and less predictable.

The good news is technical debt can be managed proactively with more governance and deliberate practices of good technical hygiene. Strategies and frameworks can reduce existing debt, prevent new debt from accumulating, and positively impact organizational innovation.

Strategies for Managing Technical Debt 

Managing technical debt requires a deliberate, structured approach that balances rapid delivery with long‑term sustainability. High‑performing organizations treat technical debt as a measurable asset that must be actively governed—not ignored. Effective management typically includes the following strategies:

Establish Engineering Standards and Governance

• Define consistent coding guidelines, architectural patterns, and review processes.
• Reduce the introduction of new debt and prevent technical debt through predictable, high‑quality engineering practices.
• Research shows teams with strong standards experience significantly lower design and code debt.

Drive Digital Transformation

• Modernize legacy systems to eliminate structural constraints.
• Migrate to cloud‑native architectures for scalability and resilience.
• Adopt modern digital infrastructure to prevent recurring sources of debt.

Adopt Robust Testing Practices

• Implement automated unit, integration, and regression testing.
• Increase test coverage to reduce the cost of change.
• Prevent new debt by catching issues early and improving code reliability.

Track and Prioritize Technical Debt Transparently

• Maintain a technical debt register to track existing technical debt with clear categories and risk levels.
• Treat tech debt reduction like any other backlog item, with owners, timelines, and remediation plans.
• Categorize debt by type, impact, and estimated effort to support informed decision‑making.

Provide Resources to Engineering Teams

• Empower teams to address debt proactively and allocate time for refactoring.
• Encourage sustainable development practices and reward long‑term thinking.
• Build an environment where teams surface issues early rather than allowing them to escalate.

Together, these technical debt management strategies create a sustainable, disciplined framework for effectively dealing with technical debt and supporting long‑term innovation.

Read also: The Benefits of IT Consulting: A Comprehensive Guide

How BD Emerson Can Help Your Team Manage Technical Debt 

Managing technical debt is a complex challenge that requires strategic guidance and practical implementation. BD Emerson’s Technology consultants can offer you tailored solutions based on your organization's personal needs that prioritizes the organization's identity while remediating and improving the quality of your overall operational efficiency. Through Digital strategy and roadmap development, BD Emerson teaches engineering teams how to manage technical debt effectively.

Digital Transformation

With more than 15 years of experience in technology consulting, BD Emerson’s experts lead teams through digital transformation projects with the goal of modernizing and optimizing organizational technology, software, and systems in order to streamline processes and keep up with the demands of the current market.

We offer:

• Digital strategy and roadmap development
• IT modernization and digital infrastructure
• Cloud transformation and migration
• AI governance, compliance & risk management

Learn more about BD Emerson’s Digital Transformation Services

Get Your Technical Debt Under Control 

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Sources

1. The hidden drag, quantified: Technical debt’s penalty on value and growth, Deloitte: https://www.deloitte.com/us/en/insights/topics/technology-management/technical-debt-impact.html
2. Build your tech and balance your debt, Accenture: https://www.accenture.com/us-en/insights/consulting/build-tech-balance-debt
3. Ward Explains Debt Metaphor, Wiki: https://wiki.c2.com/?WardExplainsDebtMetaphor‍
4. Time Pressure in Software Engineering: A Systematic Review, Miikka Kuutilaa, Mika Mantyla, Umar Farooqa, Maelick Claes: https://oulurepo.oulu.fi/bitstream/handle/10024/28429/nbnfi-fe2020041516665.pdf