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When an engineer says, “That’s not really my cup of tea,” about customer questions or work owned by another team, the immediate effect may be a handoff. The larger concern is whether specialists have enough context to connect their work to the systems and people around it. The “most expensive” wording is a warning, not a measured finding: the argument and examples behind it do not quantify the cost or prove that this phrase causes losses.
What “not my cup of tea” can signal
The phrase is shorthand for opting out of work beyond one’s specialty. Related responses include “That’s more of a DevOps question” and “not my concern.” In the source essay, these are reported interview responses and illustrative examples, not results from a representative survey of engineering candidates.
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There is a reasonable organizational concern behind the rhetoric. If a customer’s question repeatedly crosses team boundaries, or an engineer cannot explain how a service interacts with its dependencies, the work may require extra handoffs. That can obscure ownership and distance technical decisions from the problem a product is meant to solve. Those are plausible risks, not a demonstrated price tag: the essay supplies anecdotes and recommendations, not a controlled study or quantified cost estimate.
Specialists need context, not a mandate to become generalists
The answer is not to make every engineer responsible for every layer of a system. Deep expertise matters. A specialist can remain focused on a particular technology while understanding enough about adjacent services, operations, and customer needs to make sound decisions and know when to bring in another expert.
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That distinction is practical: “I don’t own that system, but here’s what I know and who should help” keeps expertise and collaboration together. A rigid “not my concern” can instead end the conversation before anyone understands the dependency or the customer’s underlying question.
Why communication matters—and what the evidence does not show
There is evidence that communication is prominent in broader skills-demand data, but it should not be mistaken for proof of a particular engineering-management prescription. LinkedIn’s 2024 report ranked communication No. 1 on its overall most in-demand skills list. LinkedIn says that analysis drew on data from one billion members across 200 regions and countries. It describes a platform-based labor-market signal, not a measurement of engineering communication costs or productivity.
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LinkedIn’s 2026 Skills on the Rise report also describes growth in cross-functional collaboration and stakeholder communication. Its published scope covers 12 markets, and its growth rates compare skill acquisition and hiring-success signals from December 1, 2024 through November 30, 2025 with the same period a year earlier. These findings offer context for why communication skills are receiving attention; they do not establish that a specific team structure or customer-meeting policy will improve results.
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The source essay argues that AI makes answers and code easier to obtain, raising the value of judgment, communication, and understanding the customer’s real problem. That is an interpretation, not a mechanism demonstrated by the LinkedIn reports. Specific figures the essay cites about AI-assisted code and Cloudflare engineering adoption are not independently established by the sources cited here, so they should not be treated as verified facts.
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How engineering leaders can help teams cross boundaries
Test explanation and adjacent-system reasoning in interviews
Ask candidates to explain a system to someone outside technology and respond to basic questions. Then explore one neighboring concern—for example, which service metrics should inform autoscaling and why. The aim is not to demand encyclopedic knowledge; it is to see whether someone can reason across a boundary, explain uncertainty, and identify when another specialist is needed.
Offer exposure and coaching to willing engineers
Leaders can make training, shadowing, customer sessions, and post-session debriefs available. Exposure should help engineers learn how users describe problems and how technical choices affect them. The source essay recommends enabling interested engineers rather than assigning every engineer to lead customer conversations. It also cautions against treating introversion as unwillingness: the relevant question is whether someone is willing to practice and learn.
Look for recurring seams in the organization
When requests repeatedly bounce between teams, inspect the handoffs rather than assuming an individual attitude is the only cause. Tool-based team boundaries may be appropriate, but repeated delays or unclear ownership can be a reason to consider organizing work more directly around customer problems.
Useful questions include:
- How many teams must respond to a typical customer problem?
- Is it clear who owns the outcome and who contributes specialist knowledge?
- Do handoffs add meaningful expertise, or mostly delay a decision?
- Can engineers reach the people who use the product, directly or through a reliable feedback path?
The essay recounts adding an architect to customer reviews as an example of bringing technical context closer to users. It is an author-reported anecdote, not evidence that the same change will work everywhere. The recommendations above are practical proposals, not interventions whose effects are quantified in the cited material.
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