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What "That's Not What I Asked For" Really Costs, and How Agentic Development Cuts It

Published ·Vadim Fainshtein
What "That's Not What I Asked For" Really Costs, and How Agentic Development Cuts It

TL;DR: Most talk about agentic development is about how fast AI writes code. Yet a large share of a software team's week goes to clarifications, handoffs, waiting for approval and reworking things that already work. When the team can see a working version early and change it cheaply, that overhead shrinks. In our experience at Globalbit, that is where a large part of the saving comes from.

The saving that speed reports miss

Conversations about agentic development usually focus on code: how many tasks one developer can finish, how long a feature takes, how much work an AI agent can take over.

Look at a normal week on your team. How much of it went into writing code, and how much into clarifications, meetings, waiting for sign-off and fixing something that already worked?

At Globalbit, we found a large part of the saving there. The way product managers, UX, design, development and QA work together changes once everyone can see a working version early and fix it fast.

The spec was precise. Its value was less so.

For years, product managers, UX specialists and designers defined how the product should look and behave, and developers were expected to follow the spec to the letter. Any deviation became a fix ticket, even when the solution the team built worked well.

Here is something our industry rarely says out loud: most professionals are average. Very few are truly top tier. That holds for product managers, UX specialists, designers, developers and managers alike. A good process has to account for it.

The traditional process gave even an average spec writer the power to keep a whole team busy for days around how they personally wanted the product to work. Once a requirement landed in the document, it became binding, whatever thought, experience or user insight stood behind it.

Some of that precision is essential. The rest is personal preference that turned into work for several people.

One example: a side panel or a separate screen

Take a simple screen for approving requests. The spec says clicking a request opens a separate screen. The developers built a side panel that shows the details and lets the user approve without leaving the list.

Say both options meet the requirements and work well for users. It still takes only one person insisting on the spec to start a new round of work. The developer changes the navigation, the designer updates the states, QA tests again, and the project manager schedules the fix.

The timesheet will show development, design, testing and management. No line will say the team spent all of it replacing one reasonable solution with another.

Repeat that across a project and the hours add up. So does the friction. Product people feel unheard. Developers feel their time is wasted. Testers have to judge whether something is correct against a document that may no longer describe the right solution. (We cover the contract side of this in how to manage scope creep.)

See the product before you decide every detail

With agentic development, you can reach a version people can run and evaluate before every screen and behavior is specified. You define the need, the users, the business process and the constraints, then move to a first implementation with AI agents.

A product owner sitting in front of a working version makes different decisions. They can complete a task, see which information is missing and feel where the flow drags. Saying "something's missing here" is far easier than imagining everything in advance.

They also meet solutions they wouldn't have picked themselves, and find that those solutions work. The side panel from the example above may turn out to be perfectly convenient. It stays, even though the original plan imagined a different screen.

That lets you skip part of the detailed discovery and spec work up front, and focus each round of changes on what actually affects use. Product people gain too: they no longer have to guess and lock every detail before anyone starts building.

Background

Want to see where your team loses time?

Pick one product workflow. We'll show you how agentic development shortens it, from the first requirement to a version your users can try.

Changes got cheaper too

A change to a flow or a screen used to take a developer two days, plus testing and coordination. Today some of those changes take a short prompt, a review and a test of the result.

When trying something costs little, you can try both options. Instead of a long debate about which one users will find easier, you run both and decide.

The whole team feels it. Product people get answers sooner. Developers spend less time on routine fixes. QA tests the updated behavior earlier. Fewer tasks sit open waiting for someone to free up.

A short prompt can still hide a hard engineering change. A change to permissions, a business calculation or the data model needs testing that matches its impact, and the team stays accountable for the implementation.

Know what to insist on

Seeing a working product early doesn't guarantee the right choice. AI output can be average too, and a convincing screen can hide a broken process. So arrive at the first version with a clear definition of what the user needs to achieve and what the system must guarantee.

Separate binding requirements from details you can explore along the way, right from the start:

  • Binding, and defined explicitly: permissions, business rules, accessibility and data integrity.
  • Open to experiment: interface decisions that have several good answers.

This is a real opportunity for excellent product and UX people. They can put more time into understanding users, spotting problems and judging the solution in practice. Knowing what truly needs to change is now worth much more.

What to measure

A company moving to agentic development should track:

  • How long it takes from a requirement to something a person can try
  • How many rounds of fixes each change needs
  • How much time goes to waiting and coordination
  • Whether the changes helped users complete their task

These metrics show whether the workflow improved. Lines of code and closed tickets tell only part of the story.

Frequently asked questions

What is agentic development? Development where AI agents do much of the implementation: writing code, tests and changes. The team defines the need, directs the agents, reviews and tests, and stays accountable for the result.

Does agentic development replace discovery and specs? It changes what you specify up front. You still define the need, the users, the business process and the constraints, and you spell out permissions, business rules, accessibility and data integrity. Interface decisions with several good answers can wait and be judged on a working version.

How do you know the switch is working? Measure the time from a requirement to something people can try, the number of fix rounds, the time spent waiting and coordinating, and whether the changes helped users complete their task.

At Globalbit, this is part of how we approach development with AI, from defining the need to testing the result. If you are weighing the switch, start with one product workflow and see how much work it saves everyone involved. Let's pick it together.

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