Discarding code that no longer fits your technical debt roadmap is the worst decision you can make as a CTO. This is not an exaggeration. It is a reality that history has proven hundreds of times in the past and that we have seen firsthand.
Where other technical leaders only see bugs and lack of optimization, you can find the patch that saves you a future headache on the roadmap. At Crazy Imagine Software we help you understand the reason so that you think twice and three times before rewriting. avoid these problems so you can optimize your development..
Netscape case: why rewriting is never a good idea
It is 1994, and Netscape is the browser par excellence of the Internet. According to Medium data, at its peak, its market share was 90%. The first serious competitor, Internet Explorer, appeared only in 1996. Until then, the competition was nonexistent.
Netscape was still leading, but not for long, since Microsoft offered free copies of IE while Netscape cost around 50 USD. At that moment, having already released version 4.0, Netscape began developing its successor, but there was a problem.
The company had requested the support of the community, but that support never came, partly because the code base was difficult to manage. In this way, after a year of work, Netscape shelved version 5.0 and began developing 6.0 from scratch.
Meanwhile, Internet Explorer was evolving. Version 4.0 was released in September 1997, and its successor in March 1999. Each update added new features that hooked users. Meanwhile, Netscape was still in the hell of rewriting.
Version 6.0 saw the light in November 2000, but it was already too late. Netscape lost all its market share to Internet Explorer, victim of the general public’s oblivion and a defective product that was definitely not ready to be released.
Netscape made the worst strategic decision for a software company: rewriting the code. The cost was enormous, since the organization never managed to recover from this blow. In 2003, the company was dissolved at the hands of Time Warner.
The second system effect: an evil you must avoid
Although it does not fully apply in the case of Netscape, many companies fall into the so-called “second system effect,” a fallacy that can be summarized as believing that the second version of a product will be better when, in reality, it is more likely to be inferior.
The main reason is that, with the experience of a product already launched, some developers become overconfident and approach the second version with less care and, in addition, wanting to add many of the ideas designed for the initial release.
The result is clear: the second version is much slower, heavier, and more inefficient. The product becomes difficult to sustain because it includes many more functionalities than your team can handle and that provide genuine value to the business.
Code rewriting is the perfect moment for this effect to seriously delay your technical debt roadmap. The most common thought is that, since the possible problems were solved once, the second iteration will be faster. That is not necessarily the case.
The original system, with its messy code, generates value and can remain stable for years thanks to patches created to cover bugs. It accumulates a level of experience that the supposedly more advanced version will take time to reach.
Incremental refactoring: the best alternative to rewriting
It is clear that rewriting code from scratch is not an option if you want to compete. With that in mind, what alternative exists that allows you to stabilize the code and manage technical debt without stopping growth? The answer is one: incremental refactoring.
Simply put, it is dividing the refactoring process into smaller sections, minimizing risk and the domino effect of change while expanding the field to make improvements when necessary.
According to CodeScene data, conventional refactoring already accelerates software development by 43%. In addition, it minimizes up to 50% of errors detected after release, strengthening the integrity of the product.
Several clients considered rewriting their code before coming to us. Once we took on the challenge of refactoring, they understood why it is a much more effective and beneficial alternative than building from scratch. Discover it yourself.
Continuous improvement of quality
Instead of waiting for a critical moment every few years, incremental refactoring makes you improve code quality every day.
Each small change eliminates a leak of complexity, reduces duplications, and clarifies the intention of the code. Thus, the system becomes easier to understand for anyone who joins the team, flattening the learning curve.
With a more readable and coherent base, developers make fewer mistakes when touching sensitive areas, code reviews become faster, and tests achieve greater effective coverage. This translates into:
Fewer bugs in production.
Fewer emergency “firefighting” situations.
More time for features that truly create business value.
Safe system modernization
This approach reduces technical risk because each change is easier to test, revert, and isolate; if something goes wrong, you know exactly where to look and the impact remains limited.
At the same time, incremental refactoring allows you to take advantage of more modern technologies while preserving the knowledge encapsulated in your current code instead of discarding it completely, as would happen in a rewrite from scratch.
In summary, your system evolves in a controlled way, maintaining operational continuity and the trust of customers, investors, and the internal team.
Early feedback
Incremental refactoring opens the door to shorter feedback cycles. Look at it this way:
You make a limited change.
You deploy it in a controlled environment.
You receive immediate signals about whether you are going in the right direction.
Each iteration generates data about performance, stability, and user experience that you can use to decide what to refactor next, what to postpone, and what to discard.
Thanks to this refactoring approach, each improvement is validated with users, product metrics, and your own development team. You will avoid investing months or years developing on a parallel branch without real business feedback, the typical scenario of rewriting.
Cost reduction
From a financial point of view, incremental refactoring is a way to optimize budget without slowing down the product technical debt roadmap.
When you reduce technical debt consistently, you decrease the time the team loses interpreting tangled code, fixing regressions, and handling incidents. This recovered time results in greater effective capacity without increasing headcount.
In addition, by avoiding a complete rewrite, you eliminate the enormous sunk cost of maintaining two systems in parallel: the old one that must be maintained and the new one that still does not generate value.
