At half past eleven at night, the founder of a logistics startup in Jakarta stared at his screen with burning eyes. The website he had relied on for the past three years had just gone down in the middle of a surge of orders three days before Eid. The support team could not access the admin dashboard. The delivery team could not update shipment statuses. All he could do was wait, while one customer after another messaged him on WhatsApp asking where their packages were.
The system had been built "quickly" by a single freelance developer back when the team had three people. There was no documentation, no automated tests, and every new feature was patched on top of earlier patches. Three years later, nobody dared to touch the code except the developer who originally built it — and he had become hard to reach.
This is not a story about a failed startup. It is a story about debt that never appears on a financial statement but slowly eats through every ounce of profit margin. It is called technical debt. And almost every business in Indonesia that has ever gone digital carries it — whether they realize it or not.
What Technical Debt Actually Means
"Technical debt" sounds like developer jargon that has nothing to do with business owners. In reality, it is a deeply business-oriented concept, and the analogy comes from everyday life.
Imagine building a shop on a foundation that was not quite strong enough, just to open one month earlier. The shop stands, and business is good. But five years later, cracks start appearing in the walls. Every repair causes damage somewhere else. Nobody dares to touch the walls anymore. And maintenance costs keep climbing.
Technical debt works exactly like that. It is the accumulation of technical decisions made "for speed" in the past, which must be "repaid" in the future in the form of slower development, more frequent bugs, and increasingly expensive fixes.
There is a common misconception that technical debt only means "ugly code." Not necessarily. Technical debt also comes from decisions that made perfect sense at the time: building a first version quickly to test the market, using a system that cannot grow because the budget was limited, or skipping documentation because of a pressing deadline. Those are not mistakes; they are business decisions. The problem starts when the debt is never planned to be repaid, and the interest keeps compounding.
The Most Common Types of Technical Debt
Technical debt does not always look like messy code. It appears in many forms, and recognizing it is the first step to managing it.
Code Nobody Dares to Touch
Every small change takes a long time because developers are afraid of breaking something else. There are no automated tests protecting existing behavior, so every edit is a gamble. The typical symptom: a feature that should take three days drags on for two weeks — not because it is difficult, but because of fear.
Missing Documentation
The system was built three years ago by someone who has since left. There are no records of the architecture, why certain decisions were made, or how to run it. When something goes wrong, the only hope is finding the old developer who still remembers — or paying someone new to guess.
Dependence on One Person or One System
Only one person understands the system, and it runs on a server older than most employees. That person gets sick, the server goes down, and the whole operation stops. This "single point of failure" risk is one of the most dangerous — and most underestimated — forms of technical debt.
Versions That Are Never Updated
The application uses libraries or frameworks that have not been updated for years. It seems economical at first, but when a new feature is needed, the old ecosystem no longer supports it. What should have been gradual, cheap updates turns into an expensive, massive migration because it was postponed too long — the same pattern as a cloud migration that keeps being postponed, then turns from a small project into a rescue operation.
Architecture That No Longer Fits
The system was built for 50 users and now serves 50,000. The architecture that was once efficient is now a bottleneck. Sometimes the solution is not adding more servers but redesigning the core — a much bigger job than a simple upgrade.
What Technical Debt Actually Costs
This is the question that is rarely answered honestly, even though it matters most for decision-making. Technical debt never shows up as a line on the balance sheet, but it consumes money through several channels.
First, development speed slows down. A team working on a system with technical debt can lose 20 to 40 percent of its productivity, because every feature has to fight against old complexity. Features that used to take two weeks now take a month. Simply put: you are paying developers for time largely spent fighting their own system.
Second, bugs and incidents increase. A patched-up system tends to get more fragile. Every fix risks introducing new problems. Incidents during peak hours, unsynchronized data, and errors that appear out of nowhere are real costs: team time, customer trust, and often money.
Third, hiring and retaining talent becomes harder. Good developers generally do not enjoy working on messy systems. This is not just about aesthetics; it is about whether their work feels valuable or whether they spend their days firefighting. When the developer who understands the system leaves, you lose knowledge written nowhere, and their replacement needs months to catch up.
Fourth, compliance and security risks. Old systems that are never updated are vulnerable to cyberattacks. In Indonesia, the Personal Data Protection Law adds weight: data controllers are required to protect customer data, and negligence can lead to sanctions. We explore this in more depth in our business website security guide.
Fifth, and most subtle, lost opportunities. Because development is slow, features that should have launched to catch up with competitors arrive late. Because the system is fragile, you decline major projects that require integration. Lost opportunities do not appear on the income statement, but they are real.
One analogy helps: technical debt is like credit card interest. Paying the minimum each month keeps the account from defaulting, but interest keeps piling up. The longer you postpone, the larger the amount you must eventually pay — and sometimes, as with credit cards, people only realize how large it is when it is too late.
Technical Debt Is Not Always Bad
Before panicking and deciding to rewrite everything, one important point needs to be made clear. A reasonable amount of technical debt is a healthy part of a fast-moving business.
Companies that want to get a product to market before competitors often have to take on technical debt. Building a perfect system from day one means delaying launch for months, and in a fast-moving market, that can mean losing the entire opportunity. There is a saying in software: "if the product isn't embarrassing, you launched too late."
What separates healthy companies from unhealthy ones is not whether they have technical debt, but whether that debt is deliberate and planned. Healthy companies take on debt consciously, record it, and set aside time to repay it regularly. Unhealthy companies take on debt unconsciously, never record it, and let the interest pile up without limit.
So the right question is not "how do I eliminate technical debt," but "how much debt is reasonable for my business, and how do I make sure it stays under control."
Warning Signs That Your Technical Debt Is Dangerous
How do you know your technical debt has crossed the line? Several signals are recognizable without being a programmer.
Development Keeps Getting Slower for No Clear Reason
The same team, equivalent features, yet completion time keeps growing. This is not about laziness; it is about the rising complexity of the system. If every new feature takes longer despite the same team, technical debt is almost certainly the cause.
Recurring Bugs in the Same Places
There are "characteristic" errors that always appear: data out of sync between the POS and the warehouse, stock counts that occasionally go wrong, reports that never reconcile. A bug that gets fixed but reappears next time is a sign the root cause was never solved — only the symptom was patched.
Total Dependence on One Person
There is one person who "must not get sick" because only they understand the system. If that person exists, you are holding a time bomb. Their departure — resignation, illness, or any other reason — can stop the entire operation.
Every Change Request Is Answered with "We Can't"
Marketing asks for a small feature; the answer is "we can't because the system is old." You want to integrate with the accounting system; the answer is the same. When the system starts limiting rather than enabling, that is the clearest sign the foundation needs work.
If you experience several of these signs at once, your technical debt is likely in the danger zone, and postponing will only make it more expensive.
How to Pay Down Technical Debt Without Stopping the Business
The good news: paying down technical debt does not have to mean halting all development and rewriting everything from scratch. The most effective approach is actually gradual and does not disrupt operations.
1. Measure First, Don't Guess
The first step is not refactoring but mapping where the debt lives and how much impact it has. List the system areas that cause the most problems, consume the most team time, and carry the highest risk if they fail. Prioritize by business impact, not by what is most "interesting" technically.
2. Fix Along the Way
One of the most effective patterns is the "boy scout rule": always leave the code a little cleaner than you found it. Every time the team works on a new feature in a certain area, they also tidy a small part of it. Over time, the areas that are touched frequently become healthier — without a giant refactoring project that stops everything.
3. Set Aside Dedicated Technical Time
Many healthy teams allocate a share of development time — say 10 to 20 percent — specifically for technical improvements: adding tests, updating versions, cleaning code, writing documentation. This is not "wasted time"; it is an investment that makes all future work faster. Like cleaning the kitchen before cooking, it feels slow at first but speeds everything up afterward.
4. Build a Safety Net
Before making major changes, make sure automated tests protect the system's current behavior. Without this safety net, refactoring is a high-risk operation. With it, major changes can be done safely because any mistake is caught immediately.
5. Replace the Worst Parts, Not Everything
Not every system needs rewriting. Often only one or two modules are real bottlenecks. Replace the most problematic module with a new one while the rest keeps running. This is far cheaper and far less risky than rewriting the entire system at once.
Technical Debt and Your Company's Value
There is a dimension of technical debt rarely discussed, yet with a large impact: its effect on company value. When your business is sold, acquired, or seeking investors, the technology systems are part of the valuation — and technical debt is an invisible but very real deduction.
During due diligence, prospective buyers or investors typically assess technology systems with sharp questions: is the source code complete and handed over? Is the system documented? Is there dependence on one person or one vendor? How large is the annual maintenance cost? The answers shape their perception of risk, and risk perception translates into numbers: the price offered, or the conditions added.
Companies with healthy systems — documented code, automated tests, architecture documentation — look like assets that can be developed. Companies with messy systems look like liabilities that must be fixed after purchase, so the price comes down or the deal falls through entirely. There have been cases where an acquisition collapsed simply because the buyer's technical team found code in far worse condition than described during negotiations.
The same applies when seeking investors. Startups that claim their product is scalable but whose systems cannot handle ten times the users will struggle to defend their valuation. Experienced technology investors know that "system repair costs" will be a major expense line that does not appear in the business plan.
The implication for your business: technical debt is not just an internal engineering issue; it is part of the health of your company's assets. Maintaining systems is as important as maintaining financial records. When the time comes to sell, raise capital, or simply build strategic partnerships, the condition of your systems will speak for you — and it is better if what speaks is a healthy foundation, not a story of one patch after another.
Refactoring vs. Rewriting: When to Choose Which
This is one of the most important decisions, and the one most often made wrong.
Refactoring means improving the existing system gradually without changing its behavior: cleaning code, updating versions, adding tests, splitting up complicated parts. The cost is lower, the risk is more controlled, and the benefits accumulate over time.
Rewriting means building the system from scratch, replacing the old one in one go. It is a large, expensive, high-risk project. Data must be migrated, features rebuilt, and the team has to learn everything again. Many rewrite projects fail because the budget is spent rebuilding features that already worked, while the new features customers actually need get delayed.
A common rule of thumb: rewrite only if the old system genuinely cannot be fixed anymore — for example, the architecture is fundamentally wrong for current needs, or the technology is dead and no developers are available. For everything else, refactoring is almost always wiser. A similar question arises when choosing between building a system yourself or buying an existing one, and we compare both in our custom vs. off-the-shelf software guide.
One honest question needs answering before deciding on a rewrite: is the problem really the system, or the process? Sometimes the system is actually fine, but the workflow around it is chaotic. In that case, rewriting the system will only move the problem somewhere more expensive.
Budgeting for Technical Debt
There is no exact figure, but there are patterns to hold onto. Much industry practice suggests setting aside around 20 percent of total development costs for continuous technical improvement. This is not extra spending; it is a normal part of the cost of owning software — like the maintenance any machine requires.
For businesses that have accumulated years of debt, the initial fix can be larger. A rough estimate we often see: mapping and cleaning up a system that has run for years typically costs between 10 and 30 percent of the original build cost. This varies widely depending on the system's condition, but it gives a sense that postponing is always more expensive than paying gradually from an early stage.
The most honest way to evaluate the cost: compare it with the losses already running. If a slow system makes the team waste 30 percent of its time, calculate the value of that time in rupiah per month. If recurring bugs make customers frustrated and switch to competitors, calculate the value of lost customers. "Expensive to fix" technical debt is often far cheaper than the cost of carrying it forward.
The Role of a Technology Partner in Managing Technical Debt
Managing technical debt often requires a level of honesty that internal teams struggle with. Teams that have worked on a system for years tend to have an emotional attachment to the code they built — or, on the contrary, are too afraid to touch it. An outside perspective is often clearer about where the real problems are.
This is a role frequently filled by a software house or technology partner. They can conduct a technical audit to map the system's condition, recommend fix priorities, and execute refactoring with an experienced team. Because they have no emotional ties to the old code, their assessment tends to be more objective. If you are still unsure whether your systems need professional assessment, our guide on when you need an IT consultant can help you decide.
Kartech.'s approach starts with understanding the business problem, not immediately tearing apart the code. Through our Frame process to understand context, Shape to design the improvement strategy, and Build and Operate to execute and maintain, we handle technical debt gradually without stopping our clients' operations. If you would like to discuss the state of your system, our team in Bandar Lampung can be reached through the contact page, or you can see our full range of services on the services page.
Technical Debt Is a Business Decision That Deserves Conscious Management
There is a human tendency to postpone what is invisible. Technical debt does not show up on financial reports, does not generate a real monthly bill, and its impact only becomes apparent months or years later. It is very easy to keep postponing.
But debt, in any form, never disappears on its own. It only waits, and the longer it is postponed, the larger the interest that must be paid.
Healthy businesses treat technical debt like financial debt: recorded, understood, and scheduled for repayment. It is not something to be ashamed of; it is something to be managed. When managed well, a healthy level of technical debt actually lets a business move fast at the start while keeping the system healthy over the long term.
Start with a simple step: audit where your technical debt lives, measure its impact on team speed and system reliability, then make a plan for gradual repayment. As with most things in technology, the key is not perfection but steady forward momentum and the discipline to maintain it.
Your business grows because your systems work, not in spite of them. Keeping those systems healthy is one of the wisest investments you can make — and like most wise investments, the earlier you start, the cheaper it is.
