Is the convergence of the technology stack the selection of the technology stack?

Technology stack convergence: not a simple technical selection

Many people equate technology stack convergence with technology selection, believing that it is just a choice among various technical solutions such as A and B. This understanding is too simplified. Technology stack convergence is a more dynamic and complex process that runs throughout the entire project life cycle.

Technology stack selection is the starting point of convergence, but convergence itself is a process of continuous optimization. In the early stages of the project, multiple technology stacks may be adopted (for example, using Go, Python, React, Vue, etc.). However, as the project develops, the cost of maintaining multiple technology stacks will become increasingly high.

Therefore, technology stack convergence is often accompanied by technology migration, upgrade and reconstruction. This may involve migrating some modules to a more maintainable technology stack, or introducing new technologies to address existing pain points. This process is not linear, but is constantly recurring: divergence-convergence-re-divergence-re-convergence.

For example, a personal project may first use React Native, and later find that some functions are more efficient in development with native, so some modules use native technology instead. After the project is stable, it will tend to unify all modules into one technology stack to reduce maintenance costs.

Therefore, the convergence of the technology stack is not a pre-set goal, but a natural result in the evolution of the project. It is a product after constantly weighing development efficiency, maintenance costs and project requirements. It is a continuous optimization process, not a one-time decision.

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