LFX 2026 Proposal: End-to-End Agentic Workflow

Description:

Knative Functions ships an MCP (Model Context Protocol) server that exposes its toolchain to AI agents. This project builds on that foundation: deepening the MCP server to cover initial environment setup and CI/CD integration, and authoring a companion skill that walks agents through the full lifecycle of a Function. Together these enable end-to-end agentic usage of Serverless Functions; from initial scaffolding through deployment with CI/CD.

Expected Outcome:

- New MCP operations covering prerequisite checks with guidance.
- A companion skill that composes initialization, CI/CD setup, and deployment into a guided workflow.
- End-to-end demonstration.
- User-facing and agent-facing documentation.

Recommended Skills:

- Familiarity with the Go programming language (ideal) or Python (secondarily).
- Experience with AI/ML agents and interest in programmatic LLM integrations.
- Familiarity with Kubernetes, Serverless, GitOps, CI/CD systems a plus.
- Strong communication skills, with the ability to research and document clearly.