Introducing SONIC: A reference architecture for AI developer experiences in platform engineering
SONIC (Surface, Observability, Network, Integrations, Compute) is a blueprint reference architecture for building AI-ready platforms. Learn about "the agentic standard," MCP, and integrating autonomous agents with your developer workflows.
This talk introduces the SONIC framework (surface integration, observability, network, integrations, and compute) as a blueprint for AI-ready infrastructure. Attendees will learn about the importance of context repositories to help AI understand codebases and how standards like Model Context Protocol (MCP) relate to platforms.
The session covers why platform engineers must plan for the "time between disengagements" paradigm, where autonomous agents work alongside human developers, and why "the agentic standard" is essential when evaluating AI developer tools. Participants will leave with a practical reference architecture to prepare platforms for AI, including strategies for tactical bottom-up adoption and strategic top-down implementation.
The session covers why platform engineers must plan for the "time between disengagements" paradigm, where autonomous agents work alongside human developers, and why "the agentic standard" is essential when evaluating AI developer tools. Participants will leave with a practical reference architecture to prepare platforms for AI, including strategies for tactical bottom-up adoption and strategic top-down implementation.
Introducing SONIC: A reference architecture for AI developer experiences in platform engineering
SONIC (Surface, Observability, Network, Integrations, Compute) is a blueprint reference architecture for building AI-ready platforms. Learn about "the agentic standard," MCP, and integrating autonomous agents with your developer workflows.
Presented by
Panelist
Panelist
Panelist
Moderator
Lou Bichard
Product Manager, Gitpod
This talk introduces the SONIC framework (surface integration, observability, network, integrations, and compute) as a blueprint for AI-ready infrastructure. Attendees will learn about the importance of context repositories to help AI understand codebases and how standards like Model Context Protocol (MCP) relate to platforms.
The session covers why platform engineers must plan for the "time between disengagements" paradigm, where autonomous agents work alongside human developers, and why "the agentic standard" is essential when evaluating AI developer tools. Participants will leave with a practical reference architecture to prepare platforms for AI, including strategies for tactical bottom-up adoption and strategic top-down implementation.
The session covers why platform engineers must plan for the "time between disengagements" paradigm, where autonomous agents work alongside human developers, and why "the agentic standard" is essential when evaluating AI developer tools. Participants will leave with a practical reference architecture to prepare platforms for AI, including strategies for tactical bottom-up adoption and strategic top-down implementation.
Introducing SONIC: A reference architecture for AI developer experiences in platform engineering
SONIC (Surface, Observability, Network, Integrations, Compute) is a blueprint reference architecture for building AI-ready platforms. Learn about "the agentic standard," MCP, and integrating autonomous agents with your developer workflows.
Presented by
This talk introduces the SONIC framework (surface integration, observability, network, integrations, and compute) as a blueprint for AI-ready infrastructure. Attendees will learn about the importance of context repositories to help AI understand codebases and how standards like Model Context Protocol (MCP) relate to platforms.
The session covers why platform engineers must plan for the "time between disengagements" paradigm, where autonomous agents work alongside human developers, and why "the agentic standard" is essential when evaluating AI developer tools. Participants will leave with a practical reference architecture to prepare platforms for AI, including strategies for tactical bottom-up adoption and strategic top-down implementation.
The session covers why platform engineers must plan for the "time between disengagements" paradigm, where autonomous agents work alongside human developers, and why "the agentic standard" is essential when evaluating AI developer tools. Participants will leave with a practical reference architecture to prepare platforms for AI, including strategies for tactical bottom-up adoption and strategic top-down implementation.
Introducing SONIC: A reference architecture for AI developer experiences in platform engineering
SONIC (Surface, Observability, Network, Integrations, Compute) is a blueprint reference architecture for building AI-ready platforms. Learn about "the agentic standard," MCP, and integrating autonomous agents with your developer workflows.
Presented by
Host
Lou Bichard
Product Manager, Gitpod
Panelist
Panelist
Panelist
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