What We’ve Learned Designing Dev Tools in the Age of AI

Progress Telerik shares four lessons learned from integrating AI into their developer tools and internal engineering workflows. Key insights: AI excels at starting tasks but lacks judgment to finish them; AI-generated code looks plausible but can be subtly wrong, making context more valuable than cleverness; speed gains must be paired with accountability and observability to avoid amplifying mistakes; and AI should augment existing UI rather than replace it, preserving user control. The post draws on internal team reflections and product decisions around Kendo UI, an MCP server, and an AI Observability Platform.