@GitHub @Academic What is called a unit of fact of a seeing a new technology in jumping in and using it right away, and don't be a, you know, analyze, take your time, see if it fits, and this whole. Wisdom, basically. I know I talked about that in a previousā Conversation, probably. I'm interested in academic fields that would. Explore, you know, probably it's a psychological phenomenon to jump in and, you know, don't. Look at the complexity of how weā I know that there's a short term that is common in. Calling that a good. Way, um. Because. For example. Right now I'm having. This. Potential sense of choices for. Broker for. Event. Driven architecture, and we just have 4 or 5. Broker potential choice. We haven't made any, and it doesn't stop us from actually preparing the architecture for composing event, preparing these event, and all of these things. So if I had chosen a broker. Right away, it would haveā Destroyed this important step where what are our events going to be look like, what's going to pack to be how. Are they going to be organized, what's going to be the content of them, and all of these things.#
The closest general term is premature commitmentāadopting or designing around a specific technology before the problem, constraints, and interfaces are sufficiently understood. In software specifically, the common analogue is premature optimization, but for your broker case Iād call it premature technology selection or premature architectural commitment.123
| Term | Meaning | Fit for your case |
|---|
| Premature commitment | Deciding too early, before relevant information stabilizes | Strong fit: choosing Kafka/NATS/RabbitMQ/etc. before defining event contracts |
| Premature technology adoption | Jumping to a new tool because it is new or attractive, rather than because the problem demands it | Strong fit |
| Shiny object syndrome | Informal term for attraction to novelty and switching to the latest tool | Good colloquial label, less academic |
| Law of the instrument / Maslowās hammer | āIf all you have is a hammer, everything looks like a nailā; over-applying a familiar or exciting tool | Useful if the broker choice starts shaping the whole design |
| Solutioneering | Choosing or building a solution before adequately framing the problem | Very apt engineering jargon |
| Resume-driven development | Choosing technologies for their marketability or novelty rather than fit | Cynical variant; sometimes relevant |
| Technology lock-in | The later cost of being bound to an early choice | Describes the risk, not the act of jumping in |
| YAGNI violation | Building for a need that has not yet been demonstrated | Related, but more about features than tooling |
The software-engineering concept closest in structure is premature optimization: committing effort to a solution before knowing the actual constraint or need, thereby adding complexity and reducing flexibility.2341
Several fields study this, though they use different vocabulary:
- Decision psychology / behavioral decision-making: premature commitment, cognitive closure, anchoring, status quo bias, and novelty bias. Research on IT innovation finds that perceived novelty can strongly affect adoption decisions and risk/reward judgments.5
- Innovation diffusion / technology adoption: Rogers-style adoption research distinguishes innovators and early adopters from later adopters; it explains why some people jump early, but is not inherently a criticism of doing so.6
- Software architecture and software engineering: architectural decision-making, irreversible decisions, design coupling, premature optimization, and YAGNI. This is probably the most practical lens for your broker decision.312
- Requirements engineering and systems design: solution bias or solutioneeringāmoving to implementation before the problem space is modeled.
- Organizational innovation studies: examines technology fashion, bandwagon effects, and institutional pressure to adopt visible new technologies.
What you are doingādefining events, payloads, organization, and composition before selecting a brokerāis not indecision. It is deferring an implementation decision until the interface becomes clearer.
A precise way to phrase it:
āWe are deliberately avoiding premature broker selection so that the event model and domain contracts can stabilize first.ā
The relevant architectural principle is to make the broker an infrastructure detail behind an abstraction, while treating event semanticsānames, schemas, ownership, delivery guarantees, idempotency, ordering, and compositionāas the primary design surface. Choosing the broker first risks letting its particular guarantees and API shape your domain events prematurely.
There is a difference between:
- Premature commitment: choosing one broker before understanding event contracts.
- Informed deferral: deliberately keeping several viable brokers open while designing the parts that should not depend on any of them.
- Analysis paralysis: continuing to defer even after the decision criteria and consequences are clear.
Your situation sounds like the second: a healthy use of deferred commitment or late binding. The phrase Iād use in a design document is: ādefer broker selection to avoid premature architectural commitment.ā
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The closest general term is premature commitment: adopting or designing around a specific technology before the problem, constraints, and interfaces are sufficiently understood.
In software specifically, the common analogue is premature optimization. But for your broker case, I would call it premature technology selection, or premature architectural commitment.
There are several related terms.
Premature commitment means deciding too early, before relevant information stabilizes. In your case, that would mean choosing Kafka, NATS, RabbitMQ, or another broker before defining your event contracts.
Premature technology adoption means jumping to a new tool because it is new or attractive, rather than because the problem demands it.
Shiny object syndrome is the informal term for attraction to novelty and switching to the latest tool. It is useful conversationally, but less academic.
The law of the instrument, sometimes called Maslowās hammer, says that if all you have is a hammer, everything looks like a nail. It is useful when a familiar or exciting tool starts shaping the entire design.
Solutioneering means choosing or building a solution before adequately framing the problem. That is very apt engineering jargon.
Resume-driven development is a more cynical term: choosing technologies for their marketability or novelty rather than their fit.
Technology lock-in describes the later cost of being bound to an early choice. It names the risk, not the act of jumping in.
A YAGNI violation means building for a need that has not yet been demonstrated. It is related, but it is more about features than tooling.
The software-engineering concept closest in structure is premature optimization: committing effort to a solution before knowing the actual constraint or need, thereby adding complexity and reducing flexibility.
Several academic fields study this, though they use different vocabulary.
In decision psychology and behavioral decision-making, the relevant ideas are premature commitment, cognitive closure, anchoring, status quo bias, and novelty bias. Research on information-technology innovation finds that perceived novelty can strongly affect adoption decisions and risk-reward judgments.
In innovation diffusion and technology adoption, Rogers-style research distinguishes innovators and early adopters from later adopters. It explains why some people jump early, but it is not inherently a criticism of doing so.
In software architecture and software engineering, the useful concepts are architectural decision-making, irreversible decisions, design coupling, premature optimization, and YAGNI. This is probably the most practical lens for your broker decision.
In requirements engineering and systems design, people speak of solution bias or solutioneering: moving to implementation before the problem space has been modeled.
In organizational innovation studies, researchers examine technology fashion, bandwagon effects, and institutional pressure to adopt visible new technologies.
Your broker example is important. What you are doingādefining events, payloads, organization, and composition before selecting a brokerāis not indecision. It is deferring an implementation decision until the interface becomes clearer.
A precise way to phrase it is: we are deliberately avoiding premature broker selection so that the event model and domain contracts can stabilize first.
The relevant architectural principle is to make the broker an infrastructure detail behind an abstraction. The primary design surface should be event semantics: names, schemas, ownership, delivery guarantees, idempotency, ordering, and composition.
Choosing the broker first risks letting its particular guarantees and API shape your domain events prematurely.
There is also a useful distinction between three situations.
Premature commitment is choosing one broker before understanding the event contracts.
Informed deferral is deliberately keeping several viable brokers open while designing the parts that should not depend on any of them.
Analysis paralysis is continuing to defer even after the decision criteria and consequences are clear.
Your situation sounds like the second: a healthy use of deferred commitment, or late binding.
The phrase I would use in a design document is: defer broker selection to avoid premature architectural commitment.