The Most Underrated Senior Skill is Speaking “human”

A teammate pings: “Why did this rerender twice? I didn’t change anything.”

You can practically hear the “quick sync” calendar invite warming up.

Moments like this are where seniority shows up in a way that doesn’t fit neatly on a promo doc: the ability to explain something simply, without assuming shared context. Not because people are inexperienced. Because clarity creates alignment. And alignment is the fastest performance improvement your team will ever ship.

The uncomfortable truth is: teams don’t get slow because they lack clever implementations. They get slow because they lack shared understanding. If you can’t say the thing plainly, you don’t really own it—and your team can’t reuse it.

Clever doesn’t scale. Shared mental models do.

Most orgs accidentally reward “smart” code. The kind of abstraction that makes the author feel like they just folded a fitted sheet perfectly.

But in production, the real constraint isn’t raw intelligence. It’s coordination cost.

• How long does it take a new engineer to reason about this?
• How many “tribal knowledge” messages does it require?
• How many bugs are actually misunderstandings in a trench coat?

A clean explanation is a force multiplier because it’s portable. It moves through the team faster than any PR.

The part everyone skips

When explanations go sideways, it’s rarely because someone “doesn’t get it.” It’s because people are running different mental models.

One person thinks in user events (“I clicked once, so it should run once”).
Another thinks in renders (“React rerenders when state changes”).
Someone else thinks in scheduling (“React batches updates, so timing is… a vibe”).

Same code. Different movies.

A small move that saves hours: start by naming what you think the other person assumes.

• “Are you expecting setState to be synchronous?”
• “Are you thinking useEffect is ‘only once’?”
• “Are you assuming the console log means the DOM changed?”

This is less “communication” and more “debugging the model.” It’s also the difference between a five-minute answer and a week of workaround folklore.

A hard explanation, made usable: “Why did it render twice?”

This one shows up in basically every React codebase like a seasonal allergy.

Someone sees a log twice and concludes: bug.
Then they add guards.
Then the guards become “best practice.”
Then six months later everyone’s afraid to delete anything because the app is now a Jenga tower with analytics.

Here’s a version you can say out loud that doesn’t require React lore:

• A component render is React computing what the UI should look like.
• In development, React may intentionally run some things more than once to help catch unsafe side effects.
• Rendering is not the same as “the DOM updated.” It’s more like a draft than a publish.
• If your code relies on side effects during render, React will expose it—sometimes loudly.

Now give the team a handle—something testable:

• “If this only happens in dev, try a production build. If it disappears, you’re likely seeing dev-only checks (like Strict Mode behavior).”
• “If it happens in prod too, we should look for state changes, parent rerenders, or unstable props (new object/array/function identities).”
• “If you suspect props identity churn, memoization might help—but only after we confirm the cause.”

You didn’t just answer the question. You reduced panic and created an investigation path.

That’s leadership.

“Explain it simply” doesn’t mean “make it shallow”

This is where the phrase gets misunderstood.

Simple does not mean:

• dumbing it down
• pretending tradeoffs don’t exist
• hand-waving the sharp edges

Simple means: start from the fewest assumptions possible, then add complexity only when it earns its keep.

Short is optional. Stackable is mandatory.

The best explanations are LEGO. You can build on them. You can teach them. You can debug with them.

Architecture is just explanation under pressure

React and async questions are concrete, but architecture is where explanation becomes a safety system. Because architecture debates are rarely about code. They’re about fear:

• fear of shipping the wrong thing
• fear of owning the on-call blast radius
• fear of being “the person who chose the thing that broke prod”

So when someone asks, “Why are we doing a BFF instead of calling the service directly?” they’re often really asking:

“What pain are we avoiding—and what pain are we choosing instead?”

A simple template turns architectural discussion from vibes into reasoning:

1. What problem are we solving? (latency, coupling, auth, caching, consistency)
2. What option did we reject? and why does it fail under our constraints?
3. What tradeoff are we accepting? (more code, more ops, more ownership)
4. How will we know it worked? (metrics, error rates, release friction, page perf)
5. What would make us reverse course? (clear exit criteria)

This is how you prevent an architectural decision from becoming a cursed artifact in the repo that nobody dares touch. (Every codebase has one. It’s usually labeled “temporary,” which is a fun lie we tell ourselves.)

What makes an explanation “good” in practice

A good explanation does three things fast:

• Establish shared reality. “Here’s what the system is doing, not what we wish it did.”
• Name the trade. “We’re choosing consistency over immediacy here.”
• Provide a verification step. “Here’s how we can prove it.”

That last one is the cheat code. “Here’s how we can prove it” stops debates from turning into belief systems.

If you try this next week

A few Monday-ready moves that make explanations land:

• Start with the one-sentence version. Then expand only if needed.
• State assumptions explicitly. “Assuming we’re in dev Strict Mode…” is magic.
• Use one concrete example. One. Not five.
• Offer a way to verify. A repro, a build mode switch, a metric, a log correlation.
• End with the tradeoff. “We get X, but we pay Y” builds trust and keeps future you out of trouble.

The quiet flex

The best engineers don’t just solve problems. They reduce the number of problems the team can even create—by giving everyone the same map.

Good explanations unblock teams faster than clever implementations ever will.

If you’re in a spot where the code is fine but alignment is brittle, I’m happy to take a look. Send me your stack, team size, what’s painful, and your timeline.

What’s something you’ve had to explain recently that was harder than expected?