Value-Based Thinking for Software Engineers in the AI Era #14

Value #14 — The Hidden Cost of “Just Shipping Faster”

This article is part of the series Value-Based Thinking for Software Engineers — How engineers create impact in the AI era.

Created Using AI

“Can we ship this faster?”

It’s one of the most common questions in modern software teams.

And in 2026, with AI accelerating development, the answer is often:

“Yes.”

That’s exactly the problem.


Speed Used to Be a Constraint

For years, shipping faster required:

  • More coordination
  • More engineers
  • Better tooling
  • Clearer scope

Speed was expensive.

That naturally forced prioritization.

Now AI reduces the friction of execution.

Features move from idea to production in days — sometimes hours.

When speed becomes cheap, restraint becomes rare.


Why “Faster” Feels Responsible

Shipping faster signals:

  • Productivity
  • Responsiveness
  • Momentum
  • Competitiveness

No one wants to be the engineer slowing things down.

But speed alone doesn’t create value.

Direction does.


The Compounding Cost of Directionless Speed

When you ship quickly without clarity:

  • Misaligned features scale faster
  • Complexity accumulates sooner
  • User confusion compounds
  • Technical debt grows quietly

AI doesn’t discriminate between good ideas and mediocre ones.

It accelerates both equally.


A Familiar Pattern

A team uses AI to rapidly prototype new features.

The roadmap fills quickly.

Velocity charts look impressive.

Six months later:

  • The product feels fragmented
  • Maintenance cost increases
  • Strategic coherence fades

Nothing was poorly executed.

Everything was simply executed too quickly without deliberate prioritization.


Speed vs. Leverage

Speed answers:

How fast can we build this?

Leverage asks:

If we build this, what changes?

High-speed execution without leverage creates motion, not impact.

Value-based thinking separates the two.


The Illusion of Progress

Shipping gives dopamine.

Closing tickets feels productive.

Releasing features feels visible.

But visible output is not proof of meaningful change.

In AI-assisted teams, output becomes abundant.

Scarcity moves to judgment.


Why This Is Hard to Challenge

Speed has strong social pressure.

No one wants to argue against:

  • Efficiency
  • Innovation
  • Moving quickly

So engineers hesitate to ask:

  • Should we build this at all?
  • What happens if we don’t?
  • What is the measurable outcome?

In high-speed environments, those questions feel disruptive.

They’re actually protective.


When Faster Is Truly Better

Speed creates value when:

  • The problem is clear
  • The risk is contained
  • Feedback loops are tight
  • The direction is validated

In those cases, AI is an amplifier of good judgment.

Without clarity, it amplifies noise.


The Hidden Trade-Off

Every decision to ship faster trades off:

  • Optionality
  • Stability
  • Cognitive load
  • Future flexibility

These costs are rarely visible in sprint retrospectives.

They emerge months later.


The Engineers Who Create Durable Impact

In 2026, durable impact belongs to engineers who:

  • Question urgency without rejecting progress
  • Differentiate between reversible and irreversible decisions
  • Slow down where it matters
  • Accelerate where clarity exists

They are not blockers.

They are filters.


A Question Worth Asking Yourself

If you doubled your team’s shipping speed tomorrow —

Would your product be twice as good?

Or twice as complicated?

That answer reveals whether speed is currently your constraint — or your distraction.


In the next post, we’ll explore a skill that used to be optional for engineers — and is now essential:

communicating value clearly and confidently.


On Value #15 — Communicating Value Is Now an Engineering Skill
Coming next.

Post a Comment

Previous Post Next Post