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The Hidden Cost of Code: Why 75% of Your Development Efforts Are Wasted

By Oleksandr (Sasha) Antoshchenko

6/20/2024

Article

Did you know that around 75% of software development time is wasted on redundant tasks?

This is not just a random number. It is a fact proven by numerous studies (see table below). The argument I am making here is that development (coding) and deployment of software are redundant. When you develop software, you do not do it for the sake of developing software; you produce functionality. Therefore, coding and deploying are just means to an end.

Code is a liability, not an asset; functionality is the asset.

Hypes and trends today

It is now easier than ever to generate code, yet when it comes to maintaining and deploying that code, you are still on your own. Even with the latest tools like GitHub Copilot, you’re just producing more liability to maintain.

Tools that can generate entire applications are flashy and impressive—“generate the whole app from one prompt”—but they exacerbate the problem by leaving you with even more code to maintain and deploy.

Most of the time, engineers are maintaining software, not writing it from scratch. This obvious point is often missed. The true focus should be on tools that allow us to not only create, but also efficiently maintain software.

Current AI trends in software engineering are focusing on exactly the wrong thing. Instead of optimizing the hardest and most prevalent activity—maintenance—they generate more code to manage.

Why should you care?

Because you are not just wasting time and misusing your most precious resource—your people. You are also wasting money and, most importantly, not delivering value to your customers. Imagine if you could build four times more features with the same team or deliver the same features four times faster. You could run circles around your competition!

Solution exists

The good news is that there is a solution to these challenges. Introducing Micro, an AI-driven platform designed to automate the creation and deployment of microservices. Micro leverages generative AI to address the pain points mentioned earlier, allowing you to focus on defining requirements while it takes care of the rest.

Micro builds on the best practices of software development and deployment for you. It’s not just a code generator; it’s a complete platform that automates the entire process. You define the requirements, and Micro does the rest. Fixing a bug or adding a new feature is as simple as defining a new requirement or altering an existing one.

Imagine finding a bug in an existing system. With Micro, all you need to do is provide the input data that triggers the bug and your desired output. That’s it. Don’t believe me? Try it yourself by registering to our waitlist or scheduling a demo.


The 75% comes as an average time spent on development and deployment of software rounded from the following studies:

Study Year Requirement Gathering Development Deployment Support
National Institute of Standards and Technology (NIST) 2008 30-40% 20-30% 30-40% 10-20%
Project Management Institute (PMI) - 20-25% 30-35% 45-50% -
Gartner 2018 15-20% 20-30% 50-60% -
Standish Group (CHAOS) 2020 - 43% 32% 25%
Summary 15-40% 20-43% 30-60% 10-25%

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