Code Smell 138 - Packages Dependency
Write your code unless you need an existing complex solution
Industry trends suggest avoiding writing code whenever possible, opting instead for ready-made packages published by strangers. However, this convenience comes at a cost. Coupling, security issues, and architectural complexity are common problems associated with excessive reliance on dependencies. In August 2026, an attacker compromised the maintainer account of Keyv, injecting malicious code into it.
This led to a worm-like propagation to at least 444 packages, responsible for over 2 billion monthly installs before anyone detected the malware. This highlights the lack of auditing for transitive dependency trees, which is often overlooked until it's too late. Writing your own code is often the safer choice, unless you're dealing with a complex issue that necessitates an existing solution.
The key to mitigating these problems lies in implementing straightforward solutions and relying on mature dependencies. In a recent example, importing a simple package to determine if a number is odd revealed the dangers of over-relying on external packages. Instead of using the package, a developer could inline the solution, implementing a single modulo operation.
Detecting such unnecessary dependencies requires explicit instructions from the developer, as AI code generators often overlook them. While AI generators can suggest using popular packages for simple problems, they rarely flag the added coupling costs. Therefore, it's essential to instruct AI assistants to prefer inline solutions for trivial problems and reserve dependencies for genuinely complex issues.
In conclusion, while code reuse is beneficial, it's crucial to strike a balance between code duplication and unnecessary reuse to maintain system integrity and security.
Written by urgent.news from HackerNoon's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
