#observability

Updates advance transparent, AI-driven, and autonomous IT operations with expanded analytics and advisor capabilities RESTON, Va., June 24, 2026 — ScienceLogic, delivering intelligence that accelerates outcomes through service-centric observability, AI-driven operations, […] The post ScienceLogic Announces New Skylar AI Updates and Recognition as a Leader in IDC MarketScape Reports appeared first on AIwire.

In hardware, when you ship something broken, the consequences are severe and often irreversible. That’s the world I worked in for years, in verification roles at Mellanox and later at Alibaba. The stakes forced the industry to build a rigorous verification culture. You proved designs worked before they left the building. In software, verification disciplines look like CI/CD pipelines, static analysis, canary deployments, and observability. But those systems were built around code written at human speed, with human comprehension baked into the process. AI code generation has broken that assumption. The writing process can no longer be trusted to carry institutional knowledge and judgment into the codebase. The industry is being pushed toward the kind of rigorous verification culture that hardware engineers have practiced for decades. Enterprises are generating code faster than at any point in history. Google recently disclosed that 75% of the company’s new code is now AI-generated. Meta