Escaping the Engineering 'Maintenance Trap': How CTOs Can Keep Their Core Team Focused on Innovation

By the end of 2026, engineering organizations will still have to balance the trade-offs between the demands of product building versus the demands of operations and maintenance. According to research from Atlassian and various workplace productivity studies, engineers can lose a third of their working time due to context switching and the interruptions of unplanned work. This is amplified as systems grow in scale and as more legacy infrastructure is built. The article looks at how CTOs can manage technical debt, deal with the unplanned work built up in the backlog, and preserve organizational capacity for further innovation and growth within the engineering function.

Most engineering organizations do not face a talent or an idea deficit. Organizations slow down as maintenance demands eat up the time budgeted for product development. As systems grow, finding the balance between product building and service stabilisation becomes more difficult for an organization to achieve.

As these demands grow, CTOs need to find a way to maintain that focus as demands grow to ensure that the pressure does not collapse the system. This requires identifying when and where unplanned work begins to dominate, and designing teams that can enable the organization to restore that momentum.

Understanding the Maintenance Trap in Engineering Teams

The maintenance trap is formed when engineering teams spend a disproportionate amount of time on operational demands, support, and maintenance. As products grow, new versions and the growth of product systems cause a multiplicative system of effects in product development and burden the growth of the organization. This results in a decrease in the capacity for new initiatives, even as the staff size grows.

A guide published on how to Scale with Offshore Software Engineers describes how distributed models can extend support coverage across time zones. The separation of core product development from routine maintenance allows senior engineers to concentrate on improving architecture and new product features while teams that specialize in the maintenance of systems take care of monitoring and bug fixing. The approach may add slightly more complexity, but it helps to redistribute the workload so that the reactive maintenance work does not disrupt product planning.

Separation has become a necessity in the world of global engineering. The need for persistent availability of systems means that support work is often done outside of the normal work hours. Research from productivity studies, including those done by Atlassian, shows that knowledge workers waste between 20 and 40 per cent of their time doing unplanned work that involves a lot of coordination. When the studies are applied to engineering teams, unplanned work means interrupted development and lengthy delivery times for the items that are on the development road map.

CTOs who implement structured team segmentation seem to be more successful in this area. Core teams work on design systems and the development of the product, while the rest of the teams work on operational control. The balance of distributed and centralised teams helps to keep the capacity to innovate.

Why Core Engineering Time Gets Consumed by Technical Debt

Technical debt builds up over time. When the focus is on cutting development time, teams often make tradeoffs (for example) by leaving out important forms of testing or skipping test case implementations. These tradeoffs often take a toll, forcing teams to invest time and resources in maintaining systems in order to ensure that systems continue to function as intended.

As systems become more complex, employees devote more time to learning older code or fixing recurring bugs. This consumes time that could be utilized for code development. A study analysing developer productivity, including the development process at Stripe, finds that maintenance consumes the largest share of developer productivity. This maintenance work is at about a third of the total development time. This is likely due to code development systems that are relatively mature.

As technical debt increases, the maintenance work of the system increases, and the time available to reduce technical debt through system improvements decreases. Systems workers have a choice to lessen the impact of maintenance and improvement work through a relaying and management system to improve productivity and system efficiency.

How Maintenance Work Slows Down Innovation Velocity

Maintenance work changes the order in which engineering teams approach development tasks. It often pushes planned work aside as systems require continuous attention to incidents, fixes and support requests. When disruptions become frequent, engineers shift into a reactive mode, which reduces uninterrupted time for system design and long-term improvement.

In this environment, teams tend to favour stability over experimentation. Even when leadership encourages innovation, engineers often default to safer technical decisions and delay the adoption of newer approaches. Research on developer workflow patterns shows that fragmented work and frequent task switching reduce development efficiency and extend the time required to complete new features, as cognitive load increases with each interruption.

Separating operational responsibilities from product engineering work helps reduce this pressure. Structured on-call rotations, clear incident ownership and stronger monitoring systems limit unnecessary interruptions to core development workflows. Dedicated development windows allow teams to protect roadmap delivery time while ensuring incidents are still handled in a controlled way.

This approach also informs CTO hiring strategies, reduces software developer burnout linked to constant context switching and supports scaling engineering capacity without increasing reactive overload.

Understanding the Maintenance Trap in Engineering Teams