I’ve always been skeptical that small, agile teams could consistently deliver robust, production-ready applications. The complexities of modern software development have long seemed to require a roster of specialized professionals to successfully execute an entire SDLC project.
The skeptical veteran in me has had to confront the reality that irrespective of skills even individual developers are now equipped to drive initiatives that once demanded large, collaborative groups. My recent experience with an AI-powered development environment has been a true paradigm shift. Only recently have I come to fully appreciate the ground-level impact of these tools.
While having previously tested tools like GitHub Copilot and observed incremental gains in productivity. I still felt dependence on the expertise of specialists for nuanced or highly complex tasks. Those tools never completely changed that equation for me.
Now, even from a business perspective, the ROI is equally game-changing. Rather than investing heavily in consultants or maintaining large, narrowly focused teams, AI powered platforms like cursor.com streamline the entire delivery cycle. I am now absolutely convinced that by adopting these technologies, small-high-output agile teams are becoming an achievable standard.