38 Practices for Managing Technical Debt and Improving Software Development

This article presents a collection of 38 practical guidelines aimed at improving software development quality, reducing technical debt, and fostering better engineering habits.

Technical Debt : Treat technical debt like a loan—short‑term gains come with long‑term interest. Avoid quick fixes, adopt a zero‑tolerance policy, and track debt explicitly on task cards.

Understanding Requirements : Analyze the true purpose behind user requests. For example, a request for a 2.5‑Mach fighter can be reframed to improve acceleration rather than raw speed.

Simplicity : Emphasize simple, readable code. Use clear naming, keep modules focused on a single responsibility, and prefer straightforward interfaces (e.g., open , read , write , lseek , close for file systems).

Code Review & Collaboration : Conduct regular code‑review meetings, share knowledge, and keep feedback constructive. Encourage team members to discuss naming, design patterns, and architectural decisions.

Refactoring & Optimization : Before refactoring, ask whether the change will improve the system at least twofold in performance, maintainability, or reliability. Use ROI criteria such as faster development speed, higher system performance, or reduced bug rates.

Testing : Write unit tests early; they act as a safety net and improve design. Non‑testable code often signals poor structure. Automated CI/CD pipelines should block non‑compliant code, failing tests, or low coverage.

Automation : Automate repetitive tasks (e.g., scripts, CI pipelines) to reduce human error and increase consistency.

Documentation & Communication : Produce clear design documents and write purposeful comments that explain *why* something is done, not just *what* is done. Ensure that requirements and issues are described with sufficient context for others to reproduce.

Learning & Growth : Continuously learn new languages, frameworks, and domain knowledge. Observe real users, understand other teams' domains (e.g., trading, recommendation), and practice sharing knowledge.

Professional Conduct : Build trust by meeting commitments, communicating transparently, and being open to feedback. Recognize personal limits and plan work accordingly.

Design Principles : Follow SOLID, KISS, DRY, LoD, and other principles. Design interfaces that are easy to use and hard to misuse, and prefer composition over coupling.

Managing Complexity : Distinguish between inherent (fundamental) complexity and accidental (incidental) complexity. Strive to simplify accidental complexity through modular design, clear APIs, and robust testing.

Overall, the article advocates a disciplined, iterative approach to software engineering that balances speed with quality, encourages continuous improvement, and treats code as a long‑term responsibility.