"Hi, my name is Wes Reisz, I'm the creator of the InfoQ Podcast and the technical principal at Thoughtworks, where our focus on platform engineering, AI-first software delivery, and the intersection of modern architectures with AI. I'm also the chair for QCon AI, which is the newest edition of the QCon family, focusing deeply on how software engineers and leaders are shipping responsibly with AI."
"Their QCon AI in New York talk is exploring how LinkedIn's platform teams are giving engineers the ability to define tasks, orchestrate agents, and generate real PR safely using structured specification governance and a secure MCP framework. In today's conversation, we'll walk through that and look at specifically how LinkedIn is approaching the shift. Why platform teams, not just ML teams, are becoming central to enabling AI."
LinkedIn platform teams provide secure, compliant, observable, and developer-friendly frameworks to enable enterprise-scale AI, focusing on multi-agent systems and developer workflows. Engineers can define tasks, orchestrate agents, and generate real PRs using structured specification governance and a secure MCP framework. Platform teams, rather than solely ML teams, centralize tools and abstractions to scale AI across engineering organizations. The approach includes integrations into developer workflows, emphasis on safety, governance, and observability, and building enterprise-grade agentic systems. The work targets reproducible, scalable, and auditable AI capabilities that meet compliance and developer productivity needs.
Read at InfoQ
Unable to calculate read time
Collection
[
|
...
]