Tackling Code Quality, Testing, and Efficiency Challenges in Software Development

Code Quality Issues

Analysis

Performance : Code quality depends on developers' overall programming experience, including operating systems, design patterns, data structures, algorithms, networking, databases, and front‑end knowledge. Current performance bottlenecks focus on weak database optimization, excessive request frequency, and insufficient caching.

Database optimization is weak: no execution plan review, shallow index understanding, limited SQL tuning experience, and problems with joins, missing indexes, and high request rates.

Reduce request count: limit database calls, front‑end image requests, and CSS/JS requests.

Leverage caching: static file CDN caching and shared data caches.

Compress content: image compression, request file compression, rich‑text compression.

Potential high‑concurrency queries and network bandwidth latency.

Standardization Issues

Inconsistent naming conventions and lack of documented standards lead to confusion. Recommended practices include uppercase global variables, camelCase for locals, consistent file naming, and clear documentation. When naming is ambiguous, consider business context and add comments only when necessary.

Consistency is essential for readability; mismatched naming across domains (e.g., Company vs Supplier) indicates poor domain understanding.

Code reviews are costly but necessary; a strict review process improves product quality and reduces technical debt.

Testing and Release Problems

Analysis

Monthly testing window is too tight, leading to insufficient interaction and verification.

Testers lack deep business knowledge and testing tool expertise, resulting in superficial black‑box testing and missing performance, DDoS, and security checks.

Testing pace lags behind development, causing integration chaos and delayed bug resolution.

Solutions

Increase delivery frequency to bi‑weekly to catch issues early.

Provide business training for testers, develop detailed test case documentation, and foster a testing mindset that values thoroughness.

Implement role‑swap testing and internal developer testing before release.

Development Efficiency Issues

Analysis

Business side : Incomplete business understanding leads to bugs in modules like messaging; poor database model comprehension; insufficient task division and low delivery frequency cause bottlenecks.

Technical side : Weak front‑end expertise, underestimated technical complexity, and fragmented integration increase delays.

Solutions

Business training: pre‑release requirement documents, rehearse business scenarios, and hold focused meetings for complex features.

Technical actions: self‑develop difficult front‑end solutions, perform task decomposition, assess complexity early, and conduct role‑swap testing.

Development Awareness Issues

Adopt a rigorous mindset: treat every feature with caution, anticipate potential problems, and prioritize product quality over quick fixes.

Embrace refactoring: continuously improve code to avoid technical debt and maintain maintainability.

Value discussion: encourage open, efficient communication, share knowledge on frameworks, databases, and best practices, and avoid unnecessary interruptions.