AI-native data integration without an ontology
Kadhir Mani argues that AI-native data integration can eliminate the need for traditional ontologies, which have historically required slow, rigid ETL jobs that lock clients out of self-service expans…
Kadhir Mani argues that AI-native data integration can eliminate the need for traditional ontologies, which have historically required slow, rigid ETL jobs that lock clients out of self-service expans…
AI is poised to solve software creation, making it a ubiquitous utility and shifting innovation's frontier from digital to physical, according to Kadhir Mani. The author argues that as software become…
Kadhir Mani tested 13 AI prototyping tools to extract standalone HTML files, finding that only 7 tools (ChatGPT, Claude, Gemini Canvas, Bolt, Lovable, Replit, Figma Make) could produce self-contained …
Kadhir Mani argues that Conflict-free Replicated Data Types (CRDTs) are insufficient for collaborative editing when AI agents are involved, because CRDTs guarantee convergence but not coordination. Th…
Kadhir Mani argues that incomplete requirements and missing context cause feature implementations to fail, a problem exacerbated by AI coding agents that confidently hallucinate missing details. Engin…