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World desk5 min

It’s Not a Technology Shortage. It’s a Boundary Shortage

Richard Kovacs argues that many IT problems come from unclear responsibility rather than missing tools, and proposes a machine-verifiable contract between developer intent and operator conditions.
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Many teams that feel stuck on tooling are really stuck on ownership: nobody is certain which decisions belong to the developer, which belong to the operator, and which belong to the platform team. That is the central claim of “It’s Not a Technology Shortage. It’s a Boundary Shortage,” a DEV Community article by Richard Kovacs, identified on the page as CTO of HariKube, with a DevOps background. The article argues that unclear responsibility, not a lack of technology, produces repeated team-by-team workarounds. It then proposes a machine-verifiable contract between developer intent and operator conditions, validated and recorded by the platform. The proposal is the author’s position. This article explains it, separates it from what is demonstrated, and shows how to test the same boundary questions in your own organization.

What the article argues

Kovacs’s starting point is that most organizations already own more tools than they can use well. The problem he describes is the space between roles. Developers end up operating infrastructure, operators end up fixing application-specific logic, and platform teams end up building internal products while also handling support. When no one has drawn the line clearly, each team solves the same integration problem for itself, and the solutions do not transfer.

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The article is a diagnosis plus a design direction. It does not present a benchmark, a case study, or a measured reduction in incidents or delivery time. Readers should treat its benefits as the outcomes the author expects from the model, not as results he reports.

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Where the roles overlap

The article names three parties and the overlap it sees in each. The table below combines the roles as the article describes them with the contract model it proposes.

Party Overlap the article describes Role in the proposed contract
Developer Operating infrastructure instead of only building application behavior Declares what they want (intent)
Operator Fixing application-specific logic instead of only running the platform Defines the conditions under which the intent may happen
Platform team Building internal products while also handling support Validates, records, and consistently materializes the intent

Developers

In the article’s account, developers who take on infrastructure work are doing a job that is not part of their application responsibility. The concern is less about skill than about the time and attention that goes into it, and about the fact that the resulting configuration is rarely written down in a form others can check.

Operators

Operators who change application logic face the mirror problem. Their role is to keep the platform running safely, but application-specific decisions end up in their hands because no one else has a sanctioned way to express them.

The platform team

The article also flags platform teams that build products for internal users while absorbing support requests. Without a boundary, the platform team becomes the default owner of every exception.

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The proposed contract

The core of the proposal is a contract with three statements, each owned by a different party. Kovacs states the goal this way: “The goal is that the developer can develop, the operator can operate, and there is a clear, machine-verifiable contract between them.”

  1. The developer declares intent. “The developer declares what they want.”
  2. The operator sets the conditions. “The operator defines under what conditions it may happen.”
  3. The platform enforces and records the outcome. “The platform validates, records, and consistently materializes the intent.”

The article says this arrangement would let the parties evolve independently. Developers would not need to become operators, and operators would not need to co-author every application. The benefit depends on the contract being machine-verifiable, meaning the platform can check a declaration against the operator’s conditions without a human reading both.

Validated intent is not the same as finished work

One of the more precise points in the article is about what counts as a completed transaction. Kovacs writes: “A transaction does not mean that every necessary step has already been completed; it means that the parties’ shared intent has been validated and durably recorded.”

This separates two things that teams often merge. The first is an agreed, validated, recorded statement of what should happen. The second is the full execution of every step needed to make it true. In the article’s model, the contract is complete when the first is durable, even if the second is still in progress. Teams adopting a similar pattern would need to decide, explicitly, which states a consumer of the record can rely on and which are only pending.

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The platform primitives the model needs

The article names six capabilities that the platform would have to provide for the contract to work. They are the reusable parts that, in the author’s view, should not be rebuilt by each team:

  • State management
  • Validation
  • Authorization
  • Consistency models
  • Auditability
  • Event propagation

The practical argument is that if these exist once in the platform, the developer and operator no longer need to build their own versions of them for each integration.

What is and is not established

The article is the only source for these claims, and it should be read in that light.

  • Established: the diagnosis, the three-party contract, the six primitives, and the transaction definition are stated in the article, dated “Sep 27” on the page. The page as reviewed does not show a year.
  • Not established: that HariKube is available to use, that the described behavior is implemented, or that the approach has produced measured outcomes in any organization.
  • Not established: any statistic on how common role ambiguity is or how much time it costs. The article does not quantify the problem.

The author’s affiliation with HariKube is relevant context. HariKube is presented as a platform being built around Kubernetes’ operating model, and the contract model is the design it is meant to express. Readers evaluating it should ask for current documentation and availability from the vendor directly rather than assume either from the article.

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Testing the boundary question in your own team

You do not need HariKube to apply the article’s test. For each recurring request or incident, ask these questions and record the answers:

  • Who declares the intent, and in what written form?
  • Who defines the conditions under which it may proceed?
  • Can the platform check the declaration against those conditions without a human in the loop?
  • Is the validated record kept, and can someone later see what was agreed and when?
  • Does the team’s answer repeat across other teams? If so, it is a candidate for a shared primitive rather than a local script.

If the answers are scattered across chat threads and personal runbooks, the boundary is undefined, and no tool will fix that on its own. The article’s claim is that clarifying the boundary comes first and tooling follows.

Source: Richard Kovacs, “It’s Not a Technology Shortage. It’s a Boundary Shortage,” DEV Community, https://dev.to/mhmxs/its-not-a-technology-shortage-its-a-boundary-shortage-1mcg.

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