When Architecture Decisions Get Messy Because Nobody Oversees Them

by Arif Ikhsanudin, Backend Developer

Without someone guiding architectural choices, small decisions pile up and create chaos.
Messy systems grow quietly until they become a nightmare to maintain.

The Freedom That Breaks Things

In one project I know, developers started making their own decisions without oversight.

  • One developer created a custom JPA instead of using standard JPA or JDBC.
  • Another uploaded images through JSON, forcing everyone to decode them manually.

Individually, these might seem harmless—but together they turn the system into a patchwork.

Outdated Frameworks and Strange Practices

The project used CodeIgniter 3, a framework mostly abandoned except by students.

  • HTML and CSS tags were stored directly in the database.
  • Redundant data looping features made retrieving the right data unnecessarily complex.

When no one oversees architecture, even basic decisions become messy.

Conflicting Styles and Inconsistencies

Different developers applied different patterns and practices.

  • Some bypassed standards entirely.
  • Others tried to patch around earlier poor choices.

This creates inconsistencies that slow down development and make debugging painful.

Why Oversight Matters

A dedicated tech lead or architect could have prevented the mess:

  • Standardizing frameworks and libraries reduces redundant work.
  • Reviewing design choices ensures maintainable patterns.
  • Enforcing best practices avoids fragile code structures.

Oversight doesn’t restrict creativity—it keeps the system coherent and maintainable.

The Lesson Learned

Projects without architectural guidance quietly spiral into chaos.

  • Developers make well-intentioned but conflicting decisions.
  • Maintenance becomes costly, and new team members struggle to onboard.

When architecture decisions aren’t overseen, small problems compound until the system itself becomes the bottleneck.

Strong leadership in architecture is the invisible glue that keeps a project functional—and sane.

Scale Your Backend - Need an Experienced Backend Developer?

We provide backend engineers who join your team as contractors to help build, improve, and scale your backend systems.

We focus on clean backend design, clear documentation, and systems that remain reliable as products grow. Our goal is to strengthen your team and deliver backend systems that are easy to operate and maintain.

We work from our own development environments and support teams across US, EU, and APAC timezones. Our workflow emphasizes documentation and asynchronous collaboration to keep development efficient and focused.

  • Production Backend Experience. Experience building and maintaining backend systems, APIs, and databases used in production.
  • Scalable Architecture. Design backend systems that stay reliable as your product and traffic grow.
  • Contractor Friendly. Flexible engagement for short projects, long-term support, or extra help during releases.
  • Focus on Backend Reliability. Improve API performance, database stability, and overall backend reliability.
  • Documentation-Driven Development. Development guided by clear documentation so teams stay aligned and work efficiently.
  • Domain-Driven Design. Design backend systems around real business processes and product needs.

Tell us about your project

Our offices

  • Copenhagen
    1 Carlsberg Gate
    1260, København, Denmark
  • Magelang
    12 Jalan Bligo
    56485, Magelang, Indonesia

More articles

How a Tech Lead Prevents Knowledge Silos and Technical Debt

Projects stall, bugs pile up, and only a few people understand critical systems. A strong tech lead ensures knowledge is shared and technical debt stays manageable.

Read more

Refactoring Fat ActiveRecord Models — The Cuts That Actually Work

Fat models accumulate in predictable ways and can be decomposed with a small set of mechanical refactors. Here is what actually works in production codebases, and what just moves the mess elsewhere.

Read more

Memoization in Ruby — Patterns I Use Every Day

The ||= idiom covers 80% of memoization cases, but the other 20% — falsy values, arguments, thread safety, invalidation — is where the real decisions live.

Read more

OAuth2 and JWT in Spring Boot — Resource Server Configuration, Token Validation, and Claims Extraction

A Spring Boot service that protects resources with OAuth2 JWT tokens is a resource server. Configuring one correctly requires understanding token validation, claims extraction, scope-based authorization, and how to test without a live authorization server.

Read more