Agents over modules. Intent over syntax. Evidence over audits.
Git-Ape is the implementation of platform engineering for the agentic AI era — natural-language intent in, compliant cloud deployments out, policy enforced end-to-end.
The agent is workload-agnostic — these are the things it does to any Azure deployment
Natural-language intent → IaC template. Any cloud resource type — if there's an API, git-ape can call it.
Security gate, what-if analysis, and cost estimate run before any merge — non-compliant code never reaches your subscription.
OIDC-based GitHub Actions deploy on PR merge or /deploy comment. No stored secrets, full audit trail.
Post-deployment integration checks verify endpoints, identity, and connectivity — not just “deployment succeeded”.
Continuously reconcile live Azure state against your declared intent. Propose-and-approve fixes for any difference.
Reverse-engineer any resource group into IaC. Bring legacy or click-deployed infrastructure under Git-Ape governance.
Per-resource monthly cost from live Azure retail pricing — inside the PR, before any spend commitment.
One agent, dev / staging / prod with separate subscriptions, RBAC, and required-reviewer gates.
From conversation to production in six stages
Tell @git-ape what you need in natural language — "Deploy a Python Function App with Storage and App Insights."
The Requirements Gatherer agent validates your subscription, checks naming conflicts, and confirms resource details.
The Principal Architect agent evaluates against all 5 WAF pillars and recommends the optimal topology.
ARM template is generated with security best practices, managed identities, and least-privilege RBAC baked in.
Every Critical and High severity check must pass before deployment. No shortcuts — blocked until resolved.
Resources are deployed via OIDC, integration tests run, and deployment state is committed to your repo.
Purpose-built for every role in your cloud journey
Compliance visibility, cost governance, and risk reduction — zero jargon dashboards.
Developer productivity, architecture quality automation, and team enablement patterns.
CI/CD pipelines, OIDC setup, drift detection, and zero-downtime deployment flows.
Self-service guardrails, policy enforcement, naming standards, and multi-env management.
Quick start, @git-ape conversation walkthrough, skill cheatsheet, and troubleshooting.
Enterprise-grade features built into every deployment
Blocking security gate with auto-fix suggestions for every deployment.
Real-time cloud pricing API lookups per resource.
5-pillar Well-Architected Framework scoring and recommendations.
Cloud policy assessment against CIS, NIST, and custom frameworks.
Detect and reconcile manual changes vs. desired state.
Interactive in VS Code or headless via Copilot Coding Agent.
Specialized agents from requirements to deployment validation.
Azure and utility skills invoked automatically by agents.
The shift the manifesto describes — and what it means for your platform team
Read the full thesis: Git-Ape Vision & Manifesto · Original article: Platform Engineering for the Agentic AI Era
Get from zero to production cloud deployments in minutes — not hours.