Learning Journeys
Tailored paths for Developers, Platform Engineers, and Decision Makers.
Argy is designed to serve different roles within an engineering organization. Choose the path that matches your current goal.
🚀 For Developers
Focus: Speed, Autonomy, and reducing Cognitive Load.
- Modules & Golden Paths: Understand how Argy standardizes without friction.
- Consuming Modules: Use the portal/CLI to provision and deploy through a governed self-service.
- Run & Operations: Runs, logs, outputs, DORA metrics, SLOs, drift, incidents.
Further reading:
- Argy AI: LLM governance (providers, routing, quotas, filters, auditability).
🛠️ For Platform Engineers
Focus: Standardization, Governance, and Scalability.
- How Argy works (diagram): How Argy integrates with your existing toolchain.
- Building Modules: How to build modules with schemas, actions, bindings, approvals, simulation, and publishing.
- Policies & Guardrails: Governance by design (approvals, auditability, controls) without becoming a bottleneck.
- Versioning & Lifecycle: Evolving golden paths safely across products and environments.
Further reading:
- Argy AI: Multi-provider governance for enterprise AI.
📈 For CTOs & VPs of Engineering
Focus: ROI, Security, and Organizational Velocity.
- Why Platform Engineering: Why an IDP is critical for scaling engineering teams.
- Security Model: IAM (SSO/RBAC), audit logs, and DevSecOps by default.
- Measuring Adoption: Outcomes-first measurement (adoption, friction, tickets, lead time).
- Is Argy right for us?: When to build vs. when to use an operating layer.
Further reading:
- Argy AI: AI governance and auditability through the LLM Gateway.