Python
fromPycoders
1 week agoPyCoder's Weekly | Issue #735
Agentic architecture uses orchestrated, deployable agent routes and context engineering to overcome limitations of file-based workflows and large context windows.
Boomi Connect establishes secure connections between AI tools (Claude, Copilot, and Gemini) and enterprise applications. This is facilitated by more than 1,000 MCP-enabled tools. Boomi AI Gateway adds policy enforcement, cost control, and observability. Also new is the MCP Registry: a centralized catalog that allows organizations to discover and manage MCP servers, both from Boomi itself and from third parties.
As organizations embrace AI agents, they face a rapidly fragmenting landscape. Every SaaS-application is embedding agents, cloudproviders are building agents, partners are building agents, and internal teams are developing their own agentic solutions. This creates new challenges: how do you manage, secure, and observe all these agents working together? How do you keep a clear overview?