Rethinking software development: An AI-native approach
Many organizations are adopting AI coding tools, but few capture their full value because they layer AI onto existing ways of working rather than redesigning workflows around it.
Sonar, a leading code quality and governance platform, worked with McKinsey to reimagine its product development lifecycle by embedding AI into core engineering workflows, governance, and operating practices. The transformation delivered significant gains in developer productivity, pull request throughput, and development cycle times, demonstrating that enterprise value comes from workflow redesign—not tool adoption alone.
Read our full case study to explore how embedding AI into end-to-end software development workflows can drive lasting improvements in productivity, quality, and speed.
When AI becomes part of the workflow: Redesigning how software gets built
AI is already transforming how software is built—but most organizations are capturing only a fraction of its value. At Sonar, teams redesigned the product development life cycle and showed AI can unlock step-change gains in speed, quality, and scalability.
