Built to Connect, Destined to Diverge: The Hidden Forces Driving Redundant Development in Open Infrastructure

Open infrastructure carries an implicit promise: that shared standards and interoperable systems will prevent duplicated effort across the technology commons. In practice, even projects founded on principles of openness routinely reconstruct tools that already exist, fragmenting the ecosystem they were meant to strengthen. Understanding why this happens requires looking beyond individual decisions and toward the structural incentives that make reinvention feel rational.

The tension is not merely philosophical. Across research computing, civic technology, and nonprofit digital infrastructure, teams that genuinely believe in interoperability regularly conclude—after careful deliberation—that building their own solution is the more pragmatic choice. The result is a landscape littered with parallel authentication systems, competing data pipeline frameworks, and redundant API layers, each born from a project that once pledged to integrate rather than isolate.

The Gap Between Principle and Practice

Interoperability is easy to endorse in a grant proposal and genuinely difficult to execute in a production environment. When a team sits down to integrate with an existing open tool, they encounter the accumulated decisions of a community they did not shape: opinionated data models, authentication flows designed for different threat profiles, dependency trees that conflict with their own, and documentation that assumes familiarity the team does not yet have.

The integration cost is real and immediate. The benefit—contributing to a shared ecosystem, avoiding future divergence, preserving the commons—is diffuse and deferred. For a team operating under a grant deadline or a nonprofit managing a constrained engineering budget, the calculus frequently tips toward building something new. Not because interoperability is unimportant, but because the friction of achieving it is underestimated at the outset and fully felt only once the work has begun.

This is not a failure of values. It is a predictable response to an environment where the costs of integration are borne locally and the benefits are distributed broadly.

Network Effects Work Against Latecomers

Established open tools carry accumulated network effects that create a different kind of barrier. A widely adopted authentication library or data exchange format is valuable precisely because many systems already speak its language. For a new project attempting to integrate, that same ubiquity can feel like a constraint: the existing tool's design reflects the needs of its earliest and largest adopters, not necessarily the requirements of a research team working at a different scale or with different data sensitivity requirements.

The network effect that makes a tool powerful for incumbents makes it costly for projects whose use cases diverge even modestly from the mainstream. Customization is possible, but forking carries its own maintenance burden, and contributing upstream requires navigating governance processes that may move slowly or prioritize competing interests. The path of least resistance—building a purpose-built alternative—begins to look less like redundancy and more like pragmatic engineering.

This dynamic is especially pronounced in research infrastructure, where data handling requirements, institutional compliance constraints, and the need for reproducibility create genuinely distinct technical demands. A tool built for commercial-scale web applications may be technically open and freely licensed without being meaningfully useful to a computational biology lab managing sensitive genomic data.

Organizational Incentives Compound the Problem

Beyond technical friction, organizational incentives actively reward reinvention. Funding bodies—including federal agencies, private foundations, and university research offices—tend to reward novelty. A proposal to build a new platform for data sharing in a particular scientific domain is more legible, and often more fundable, than a proposal to contribute engineering effort toward integrating an existing platform with new institutional systems.

The result is a systematic underfunding of integration work relative to greenfield development. Teams respond rationally to the incentives in front of them. When the grant landscape rewards building new things, teams build new things—even when the more valuable contribution to the ecosystem would be improving the connective tissue between tools that already exist.

This is compounded by how success is measured internally. An engineering team that ships a new tool has a clear artifact to point to. A team that invested equivalent effort in making two existing systems interoperable has something harder to demonstrate: a reduction in friction, a dependency resolved, a migration path opened. The latter may be more valuable to the broader community, but it is less visible and less celebrated.

What Structural Change Might Actually Look Like

Breaking this cycle requires more than exhortations toward collaboration. It requires changing the conditions under which integration decisions are made.

Funding structures are the most direct lever. Foundations and federal programs that explicitly allocate resources for interoperability work—not as a component of a larger project, but as a fundable goal in its own right—can begin to correct the imbalance between greenfield development and integration investment. The Alfred P. Sloan Foundation's support for scientific open-source infrastructure and certain NSF programs have moved in this direction, but the scale remains insufficient relative to the scope of the problem.

Governance reform within existing open projects is equally important. Tools that make it genuinely easier for external contributors to propose and implement integrations—through clear extension points, well-documented APIs, responsive maintainers, and governance processes that do not require years of community standing to navigate—reduce the friction that pushes teams toward reinvention. This is not a technical problem; it is a social and organizational one.

Standardization efforts deserve more serious investment as well. When data exchange formats, authentication protocols, and event schemas are genuinely standardized—not just theoretically open but practically interoperable across diverse implementations—the cost of integration falls and the incentive to diverge weakens. The work of bodies like the W3C, IETF, and domain-specific standards organizations is foundational, but it requires sustained participation from the open infrastructure community to remain connected to actual practitioner needs.

The Compounding Cost of Divergence

Every redundant tool built by a well-intentioned open infrastructure project represents not just duplicated engineering effort, but a narrowing of the ecosystem's long-term potential. Users must choose between incompatible systems. Data migrates imperfectly or not at all. Researchers and developers who might collaborate are separated by tool boundaries that serve no one's interests.

The interoperability paradox is not inevitable. It is the predictable outcome of an environment that systematically undervalues integration, underestimates its costs, and underinvests in the governance and funding structures that would make it tractable. Naming that environment clearly is the necessary first step toward building something better.