The article examines whether services must adhere to strict layered calls in DDD, explains the layered‑to‑COLA refinement, describes the “sinkhole” anti‑pattern caused by excessive pass‑through interfaces, and offers criteria such as the 80‑20 rule for deciding when to open a layer.
The article examines why many React projects become unstable due to misuse of hooks, presenting seven frequent anti‑patterns with concrete bad and good code examples, explaining the underlying problems, and offering practical guidelines and a checklist to write reliable Hook‑based effects.
The article examines five high‑frequency Spring Boot anti‑patterns—field injection, returning entities from controllers, overusing @Transactional, generic exception handling, and embedding business logic in controllers—showing problematic code snippets, real‑world consequences, and concise refactored examples to improve testability, performance, and maintainability.
The article dissects ten frequent Spring Boot anti‑patterns—such as bloated controllers, SQL in services, overused @Autowired, exposing entities, misuse of @Transactional, N+1 queries, missing exception handling, hard‑coded configs, lack of caching, and careless logging—explaining why they degrade maintainability, performance, and testability, and shows how to refactor each with proper layered architecture, DTOs, repository abstraction, constructor injection, scoped transactions, eager fetching, global exception handling, externalized configuration, caching annotations, and structured logging.
This article examines five frequent Redis cache anti‑patterns—cache avalanche, unbounded local cache, stale data, missing invalidation, and oversized objects—explaining their pitfalls with code examples and showing concrete fixes that dramatically improve latency, throughput, and memory usage.
The article explains the classic test pyramid concept, clarifies the confusing term integration testing, and details three common anti‑patterns—Ice Cream Cone, Cupcake, and Hourglass—showing why they hinder continuous testing and how teams can move toward a proper testing strategy.
This tongue‑in‑cheek article lists a series of deliberately bad programming practices—from confusing variable names and deceptive comments to over‑engineered designs and zero testing—to show how to make code virtually impossible to maintain.
This tongue‑in‑cheek article enumerates a series of deliberately bad programming practices—from confusing naming conventions and deceptive comments to absurd design choices and zero testing—to illustrate how to make code virtually impossible to maintain.
This article explains the various DevOps team topologies—including anti‑patterns A‑G and nine positive types—detailing their characteristics, applicability, and potential effectiveness so organizations can select the most suitable structure for their value‑stream delivery goals.
