The latest DORA report on AI-assisted software development highlights a powerful truth: AI doesn’t automatically boost software delivery performance—instead, it amplifies what’s already there. For high-performing engineering teams, AI is a force multiplier, accelerating productivity and innovation. But for organizations with fragmented processes or unclear workflows, AI can actually make inefficient habits more pronounced.
With nearly 90% of developers now using some form of AI support and two-thirds relying on these tools for daily coding tasks, adoption has moved from experiment to standard practice. Yet, successful outcomes depend less on the technology itself and more on the strength of internal systems, engineering culture, and robust workflows.
At Kondevs Ltd., we see this echoed daily: when AI is layered onto a foundation of clear processes, strong collaboration, and good knowledge management, improvement is real and measurable. But without that foundation, AI risks accelerating confusion rather than clarity.
How is your team leveraging AI in software engineering? Are you seeing the benefits—or the bottlenecks? Let’s discuss what’s working, and where the industry still has room to grow.