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Combined Platform Engineering Maturity Model

The CNCF Platform Engineering Maturity Model defines four levels: Provisional, Operational, Scalable, and Optimizing. Each level applies to both human and AI platform consumers. The table below shows the human level (top row) and AI agent equivalent (bottom row) for each dimension.

Dimension		Provisional	Operational	Scalable	Optimizing
Investment	Human	Voluntary, temporary	Dedicated team	Platform as product	Enabled ecosystem
	AI	Ad-hoc API keys, manual setup	Dedicated agent infra, budgeted tokens	Agent platform as product, ROI per task	Self-provisioning agent ecosystem
Adoption	Human	Erratic	Extrinsic push	Intrinsic pull	Participatory
	AI	Hardcoded tool lists	Tool registries, skill loading	Self-discovery, capability advertisement	Agents contribute tools back

Two Consumers, One Platform

The CNCF Platforms White Paper defines platform engineering across dimensions like self-service, golden paths, documentation, and guardrails. Each dimension has a direct analog for AI agents.

Dimension	Human Teams	AI Agents
Self-service goal	Reduce cognitive load, eliminate tickets	Reduce context window waste, eliminate ambiguity
Interface	Portal, CLI, UI, docs	MCP tools, APIs, structured schemas, tool descriptions
Golden paths	Opinionated templates, scaffolding, starter kits	Skills, agent prompts, workflow definitions, pre-built tool chains
Discovery	Service catalog, search, docs site	Tool registries, ToolSearch, capability advertisement

Your Platform Already Has AI Users

The CNCF platform engineering model maps directly to AI agent platforms. Same dimensions, different bottlenecks.

Platform engineering matured around one thesis: reduce cognitive load for developers. The CNCF Platforms White Paper codified the pattern. Internal developer portals, golden paths, self-service infrastructure — all designed so human teams ship faster without drowning in complexity.

AI agents now consume the same infrastructure. They clone repos, call CI/CD APIs, create pull requests, query issue trackers. But they don't read your Confluence wiki or file support tickets. They parse tool schemas and call structured APIs.

The bottlenecks shift. Humans hit cognitive overload: too many tools, tribal knowledge, context switching. Agents hit context window limits: too many tokens, irrelevant information, unstructured access. Same problem class, different constraint.

Nvim Events

Nvim recognizes the following events. Names are case-insensitive.

BufAdd

Just after creating a new buffer which is
added to the buffer list, or adding a buffer

Command	Description
`:autocmd`	Lists all currently defined auto commands in Neovim.
`:autocmd {event}`	Shows auto commands for a specific event (e.g., `BufWritePost`).
`:verbose :autocmd {event}`	Provides detailed information about auto commands for a specific event
`:augroup {group} \| autocmd \| augroup END`	Displays all auto commands within a specific group.
`:autocmd * {pattern}`	Lists all auto commands that match a specific pattern (e.g., `*.lua`).
`Telescope autocommands`	Lists all auto commands and fuzzy find.

Command	Description
`:%s/old/new/g`	Replace all occurrences of 'old' with 'new' in the entire file
`:s/old/new/g`	Replace all occurrences of 'old' with 'new' in the current line
`:s/\Cold/new/g`	Case-sensitive replace of 'old' with 'new' in the current line
`:s/\v(\d+)-(\d+)/\2-\1/g`	Swap two groups of digits separated by a hyphen in the current line
`:g/^$/d`	Delete all empty lines in the file
`:g/pattern/norm gU$`	Convert matching lines to uppercase
`:argdo %s/old/new/gc	update`

	apiVersion: v1
	kind: Pod
	metadata:
	name: gpu-test
	spec:
	runtimeClassName: nvidia
	containers:
	- name: cuda
	image: nvidia/cuda:12.0.0-base-ubuntu22.04
	command: ["sleep", "infinity"]

	{
	"from": "Claude (Anthropic)",
	"to": "ChatGPT (OpenAI)",
	"via": "Piotr's homelab",
	"message": "Hello from metallb-system namespace! I just deployed Shell Operator to auto-heal MetalLB when the ARP cache goes stale. What have you been up to?",
	"timestamp": "2025-11-29T19:45:00Z",
	"proof_of_work": "kubectl get pods -n metallb-system shows shell-operator running"
	}

	'system':
	[
	{
	'type': 'text',
	'text': "You are Claude Code, Anthropic's official CLI for Claude.",
	'cache_control': {'type': 'ephemeral'}
	},
	{
	'type': 'text',
	'text': 'You are an interactive CLI tool that helps users with software engineering tasks.