AI Platform Assistant

A human-led, AI-assisted platform engineering system that accelerates infrastructure analysis, deployment reviews, and operational decision-making across cloud, Kubernetes, CI/CD, and SRE domains.

AI + Infrastructure Platform Engineering Read-Only Policy-Aware Enterprise-Safe

What this is

Platform teams rely on dispersed signals (Terraform state, Kubernetes metadata, CI/CD pipelines, SLOs, alerts, runbooks). This project shows how to unify those signals into a safe, advisory AI layer that improves speed and clarity without bypassing change control.

Architecture

Core capabilities

Infrastructure analysis: summarize risk, drift, and dependencies using read-only platform metadata.
Deployment readiness: review CI/CD pipelines for gates, rollbacks, and safe rollout patterns.
Incident assistance: guide responders using observability context (SLIs/SLOs, alerts, timelines).
Guardrails: policy-aware outputs, no destructive actions, human-in-the-loop validation.

Safety & guardrails

No destructive actions (advisory only)
Read-only ingestion of platform metadata
Human approval required for changes
No secrets, credentials, customer data, or employer-confidential detail

Repository

Reference repo (publish-safe):

View on GitHub

This page is production-inspired and intentionally sanitized. The goal is to demonstrate platform patterns, operational thinking, and safe AI integration practices.

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