AI agents are changing how software gets built and managed. 🏗️🤖 At #Think2026, IBM leaders discussed how organizations are approaching orchestration, governance, and visibility across AI systems and workflows, alongside updates to IBM Bob, our new AI-first development partner built for the software development lifecycle. Check out the top DevOps takeaways from Think: https://ibm.co/6042EzipE
I’ve been in this field since 25 years. It is incredible how fast AI changed every rule of the game!
Speed is great, but please include security and privacy in the managed part. Historically IBM ethics standards have guided the company , lets ensure as we move forward it continues
Que tipo de publicación es esta,... Ni siquiera sabes de la función lambada en Desarrollo OPP.
Strong points, thanks for sharing Imran Hashmi, especially the emphasis from Arvind Krishna that “the models don’t really matter unless the foundation is correct.” One area that becomes increasingly critical in this AI-driven foundation is the database execution layer. As Dinesh Nirmal highlighted, enterprises are moving toward billions of agents operating across thousands of microservices. The real challenge is no longer only orchestration - it is governed execution. Who validates what an AI-agent is trying to change? Who enforces policy? Who controls access to production data and schema changes? Who provides accountability and rollback when autonomous execution happens at scale? This is exactly where DBmaestro’s MCP server (see link: https://tinyurl.com/44bjy3hr ) comes into play. It acts as a governed execution gateway between AI agents and the database layer - validating intent against real system state, enforcing RBAC and policy controls, preventing unsafe operations, tracking every action, and ensuring changes remain auditable and reversible. As AI-driven delivery accelerates, the database cannot remain an unmanaged execution zone. Governance at the point of execution becomes part of the foundation itself.