Addressing technical debt: a Priority for maximizing the ROI of technology assets

Key takeaways

• Technical debt refers to the future costs generated by opting for quick, short-term solutions rather than more sustainable approaches.
• Unmanaged technical debt increases costs, slows down IT development, limits scalability and can affect the value of the business.
• Proactive management of technical debt improves software performance, team productivity and the return on investment in technology assets
• Refactoring, code reviews, automated testing and documentation are the main ways to reduce technical debt.
• For investors, technical debt is an indicator of technological maturity that is frequently analysed as part of a technology due diligence process.

What is ‘technical debt’?

Before examining its consequences and ways of reducing it, it is useful to understand exactly what the concept of technical debt entails.

The definition of technical debt

Technical debt is a metaphorical term used in software development to describe the implied cost of additional rework caused by choosing an easy (or quick) solution in short term instead of using a better approach that would take longer. The term was popularized by Ward Cunningham to explain the consequences of poor software architecture or software development practices[2].

Why technical debt builds up

Like financial debt, technical debt accumulates interest, meaning that the longer it remains unaddressed, the more it can compound and become more costly to fix. This debt can arise from various factors, including:

• Rushed or incomplete implementations,
• Lack of documentation,
• Insufficient testing,
• Outdated technology,
• Scalability limitations, and
• Non-adherence to coding standards.

Technical debt isn’t inherently bad and can be a strategic tool to push important updates faster. However, if not managed properly, it can lead to codebase degradation, increased maintenance costs, reduced flexibility, and slower future development cycles. Addressing technical debt is vital for maintaining the health and efficiency of software development processes and ensuring long-term project success.

In a company with a strong software focus, technical debt is therefore not just a concern for developers. It directly affects the organisation’s ability to execute its product plan, integrate new acquisitions, support a build-up strategy or cope with rapid growth in its customer base.

Proactive management of technical debt

Managing technical debt helps to minimise operational risks while improving team performance and the company’s competitiveness.

Reducing the risks associated to technical debt

Addressing technical debt is an urgent priority. A codebase burdened with technical debt becomes increasingly difficult to maintain and update, hindering the ability to implement new features or changes efficiently. This can lead to performance degradation and reliability issues, such as bugs or system crashes, affecting the overall stability of the software.

Moreover, unmanaged technical debt can impede scalability of the asset, making it challenging to adapt the architecture and infrastructure to support future growth. It also poses security risks, as older or poorly maintained code may contain vulnerabilities. By addressing technical debt, organisations can mitigate these risks and ensure compliance with current security standards.

Improving performance and competitiveness

High levels of technical debt can frustrate development teams, slowing down their work and impacting morale. Reducing this debt improves team productivity and fosters a positive work environment.

In a competitive market, the ability to quickly adapt to new trends and technologies is vital. Managing technical debt enhances an organisation’s agility, allowing it to innovate and respond to market changes more rapidly. Ultimately, proactive technical debt management maximises return on investment by extending the software’s lifespan, reducing long-term costs, and maintaining a competitive edge. Therefore, addressing technical debt is essential for ensuring the long-term health, performance, and competitiveness of software systems.

Keeping technical debt under control is important not only for development teams, but also for investors. During an acquisition or a fundraising round, it enables the assessment of a software asset’s ability to support the company’s future growth. This is why it is one of the elements analysed in a technological due diligence.

Analysis of technical debt in a Technical Due Diligence

During a Tech Due Diligence, analysing the software’s various performance indicators enables an assessment of its underlying technical architecture. An application may appear to perform well from the user’s perspective, whilst in fact being based on code that is difficult to maintain, an architecture that lacks scalability, or obsolete dependencies.
From an investor’s perspective, this analysis helps them understand whether:

• the platform can support the projected growth
• maintenance costs are set to rise
• the product roadmap is realistic
• corrective investments will be required following the acquisition
• technical expertise is well distributed across the team

High technical debt can impact risk perception and weigh on the software’s valuation.
On the other hand, well-managed technical debt reassures investors. It demonstrates that the company has a technological foundation capable of supporting its development, international expansion or a build-up strategy.

Monitoring technical debt over time

Technical debt is constantly changing. A one-off audit provides a snapshot at a given point in time, but does not always reflect future changes in risk.

This reality explains the growing interest in Continuous Diligence approaches, which involve monitoring key technological indicators over time to identify risks before they affect the company’s performance or its ability to execute its strategy.

Consequently, an increasing number of companies are implementing continuous monitoring of several indicators:

• code complexity, which can make changes take longer and be more costly;
• test coverage, to measure the reliability of developments;
• security vulnerabilities identified in applications;
• obsolete or unmaintained dependencies;
• the quality of documentation and the level of knowledge sharing within teams.

This approach enables issues to be identified at an earlier stage and technical debt to be integrated into a comprehensive framework for technology governance and risk management.

Strategies to address technical debt

Addressing technical debt requires a multifaceted approach that integrates best practices into the software development lifecycle. Key strategies include regular refactoring, rigorous code reviews, automated testing, and comprehensive documentation, each playing an essential role in managing and reducing technical debt:

Regular refactoring

Continuously improve the codebase to reduce complexity and enhance maintainability.

Refactoring involves restructuring existing code without changing its external behavior. This process is essential for improving code quality, enhancing readability, and removing inefficiencies. By regularly refactoring, development teams can systematically eliminate obsolete code, simplify complex structures, and optimise performance. This ongoing maintenance helps prevent the accumulation of technical debt and ensures the codebase remains clean and efficient, making future enhancements easier to implement.

Rigorous code reviews

Implement stringent code reviews to ensure high-quality standards and prevent the accumulation of debt.

Code reviews are a critical quality assurance practice where team members systematically examine each other’s code. This process helps identify and rectify issues early, including potential bugs, code smells, and architectural flaws that could contribute to technical debt. Rigorous code reviews foster knowledge sharing and promote adherence to coding standards and best practices. They also provide an opportunity for mentoring and professional development, enhancing the overall skill level of the team.

Automated testing

Utilise automated testing to ensure that changes do not introduce new issues, thereby maintaining system integrity.

Implementing automated testing is vital for maintaining a high-quality codebase and reducing technical debt. Automated tests, including unit tests, integration tests, and end-to-end tests, ensure that changes to the code do not introduce new bugs or break existing functionality. By continuously running these tests, development teams can quickly detect and address issues, leading to more stable and reliable software. Automated testing also facilitates refactoring by providing a safety net that confirms the integrity of the code after changes are made.

Comprehensive documentation

Maintain thorough documentation to facilitate future maintenance and reduce the learning curve for new team members.

Comprehensive documentation is an often overlooked but critical component in managing technical debt. Well-documented code, including comments, design decisions, and usage guidelines, provides clarity and context for current and future developers. This documentation helps teams understand the system’s architecture, dependencies, and rationale behind specific implementations, reducing the learning curve for new developers and easing the process of maintaining and extending the software. Moreover, thorough documentation supports better communication and collaboration within the team, preventing misunderstandings that could lead to poor decisions and increased technical debt.

Technical debt can have a significant impact on a company’s financial health and growth prospects. High levels of technical debt can stifle innovation, as resources are diverted to maintenance rather than new development. Furthermore, unmanaged technical debt can lead to system failures, security vulnerabilities, and increased operational costs, all of which can negatively affect a company’s market position and valuation.

Adding the impact of AI on technical debt

Artificial Intelligence (AI) is poised to significantly widen the technical gap, accelerating the accumulation of technical debt in two key ways:

Software integration

AI is becoming increasingly embedded in all applications, necessitating continuous updates and integration efforts.

Furthermore, the integration of AI into legacy systems often reveals underlying technical debt, as older systems may not be equipped to handle the computational demands or data processing requirements of modern AI technologies. As a result, companies must not only address existing technical debt but also anticipate future challenges that arise from integrating cutting-edge AI solutions.

AI-generated code and development assistants

AI-based development assistants now make it possible to generate code, tests or entire features in a matter of seconds.

Whilst this acceleration can boost team productivity, it also brings new challenges. Without appropriate review processes, automatically generated code can introduce architectural inconsistencies, security vulnerabilities or dependencies that are difficult to maintain over time and lead to technical debt.

For this reason, organisations must now integrate governance of AI-generated code into their development practices. Code reviews, automated testing and security checks remain essential to prevent productivity gains from resulting in a faster accumulation of technical debt.

Hardware upgrades

The rise of AI is accompanied by growing demands for computing power. Organisations sometimes need to invest in new infrastructure or upgrade their equipment in order to support increasingly demanding models. These changes can involve significant costs and create compatibility issues with existing systems.

The integration of AI into software and hardware therefore adds a layer of complexity. As AI technologies advance, this cycle of upgrades can contribute to the accumulation of technical debt if not planned for in advance. A structured approach to managing technical debt enables organisations to incorporate these developments whilst limiting operational risks and future costs.

Technical debt: a key factor in value creation

For tech investors, whether working in private equity or managing in-house mergers and acquisitions, understanding the nuances of technical debt and its management is crucial. Investing in companies that proactively address their technical debt can yield higher returns, as these companies are better positioned to innovate and maintain competitive advantages. In the era of AI, this proactive management becomes even more critical. Addressing technical debt is not just a technical issue; it is a strategic imperative that can significantly impact a company’s bottom line and long-term success.