AI for developmentInfoQ
AI for development
Adrian Cockcroft explains the transition from cloud-native to AI-native development. He shares his "director-level" approach to managing swarms of autonomous agents using tools like Cursor and Claude Flow. Discussing real-world experiments…
If you’re building agentic AI applications, you’ve probably already hit the wall where your LLM needs to actually talk to a database. Not just dump a schema and hope for the best, but genuinely understand the data model, write reasonable…
GitHub will use Copilot interaction data from Free, Pro, and Pro+ users to train AI models starting April 24, opting in by default. Collected data includes code snippets, inputs, outputs, and navigation patterns from active sessions,…
This article introduces Context-Augmented Generation (CAG) as an architectural refinement of RAG for enterprise systems. It shows how a Spring Boot-based context manager can incorporate user identity, session state, and policy constraints…