Over-engineering and excessive abstraction layers in codebases
6/10 MediumDevelopers create unnecessarily complex inheritance chains and abstraction layers that make code difficult to understand. Following a single business logic path requires jumping between ten or more different definitions, making the codebase hard to maintain and reason about.
Sources
- Common TypeScript Pitfalls & FAQ | 2025
- Pain Point Terraform hits hard when your infrastructure ...
- State of Terraform at Scale 2025: Practitioner Insights and Challenges
- Composition Over Inheritance
- 7 Deadly Sins of Python Programming in 2025 (And How to Fix Them) - CodeJunx
- Why developers are moving away from LangChain
- Type Complexity Affects...
- Why Are Developers Quitting LangChain? Top Reasons - upGradwww.upgrad.com › blog › why-are-developers-quitting-langchain
- Why developers are moving away from LangChain | vhLam.com
Collection History
You have to go through 5 layers of abstraction just to change a minute detail. Heavy nesting of chains, agents, and prompts hides core logic. Errors wrapped inside internal framework layers result in difficult stack traces and longer debugging time.
Reusable modules are still hard: Teams crave typed, API-like modules—but HCL's flexibility is a double-edged sword for large teams... deep dependency chains and over-abstracted components make debugging painful. Changing one variable in a shared module can trigger unrelated updates in production.
Forcing Abstract Factories into a 100-line script? YAGNI!
If you're working in the codebase where you need to make jumps to ten different definitions in order to understand the inheritance chain or follow the path of the business logic, then you have probably over-engineered the shit out of it.