Dev Blog: Is plain Go Still a Good Choice in 2025? | Coding Tutorials & Best Practices

As we move through 2025, the software development landscape continues to evolve rapidly. Technologies like microservices, cloud-native applications, and distributed systems are becoming the standard. ... ## The Challenges of Plain Go in 2025 While Go still has significant strengths, using plain Go without any frameworks presents several challenges in the modern development landscape, especially for more complex applications. ### Increasing Complexity of Modern Applications In 2025, even a simple microservice may need to integrate with multiple dependencies to meet production standards. These might include tools for distributed tracing, metrics collection, circuit breaking, and various communication protocols. Managing these integrations manually in plain Go often results in significant boilerplate code and a higher maintenance burden. |Challenge|Plain Go|Frameworks (e.g., GoFr)| |--|--|--| |Integration|Manual|Built-in integration of logging, tracing, and messaging| |Code Redundancy|High|Low (predefined patterns)| |Maintenance|High|Low (centralized updates)| ### Reinventing Common Patterns Without frameworks, developers often find themselves reimplementing common patterns and solutions to recurring challenges. This might include setting up logging, configuring middleware, implementing health checks, or managing database connections. Such redundant work can slow down development and introduce inconsistencies across projects. ### Onboarding and Knowledge Transfer In today's competitive job market, the speed at which new team members become productive is crucial. With plain Go, developers may spend days or even weeks learning the project-specific implementations of common patterns before they can contribute effectively. This extended onboarding process can negatively impact project timelines and team productivity. … The question isn't whether plain Go is viable—it absolutely is for many use cases. The real question is whether your team can afford the overhead of manually integrating and maintaining numerous dependencies and reimplementing common patterns across services. For teams building complex, distributed systems, frameworks like GoFr provide a compelling balance of productivity and performance. The ideal approach may be a pragmatic one: use plain Go where its simplicity and performance are paramount, and leverage frameworks like GoFr where productivity and standardization matter most.