Understanding the Constant Shift in Tech Stack Choices: A Developer’s Perspective
As developers, we often find ourselves caught in a cycle of exploring new technologies, seeking the perfect stack for our projects. Recently, I’ve been reflecting on my ongoing quest to choose the most efficient and manageable set of tools for building a SaaS product.
My previous experience involved working with Angular combined with Java (Spring Boot), leveraging Amazon Cognito for authentication. This combination has been familiar and reliable, but I often find it bogged down by verbose boilerplate code, making progress feel slow and laborious.
In a bid to explore alternatives, I experimented with SolidJS paired with Django and SuperTokens. While I appreciated the ability to craft components rapidly, the unfamiliarity and newfound flexibility felt overwhelming—I was concerned about potential pitfalls and maintaining control over the codebase.
Ultimately, I decided to revert to my original stack: Angular and Java, integrated with Amazon Cognito for authentication. My motivation remains focused on developing a SaaS product efficiently; however, I can’t help but notice how slowly I am progressing compared to others who reportedly launch SaaS solutions within a month.
Additionally, the rapid release cycles and frequent updates in the frameworks and services I work with—such as Angular’s numerous major releases and Amazon Cognito’s constant adjustments—add to my frustration. I desire a straightforward authentication flow that’s easy to maintain and implement, perhaps even considering sticking with a specific Angular version to minimize surprises.
Despite my fondness for Java, I find myself questioning whether I should commit to a more stable and manageable stack or keep experimenting. The constant desire to switch stacks seems rooted in a search for simplicity and efficiency, but perhaps the key lies in choosing a stable environment and mastering it.
What are your thoughts? Have you experienced similar struggles with tech stack consistency? How do you balance innovation with the need for stability when building time-sensitive SaaS products?
