Speed without governance creates risk. Governance without speed creates irrelevance. Read the full thesis in our Vision.
AI-native engineering portfolio: autonomous multi-agent execution, prompt governance, versioned lifecycle contracts, and Azure-ready platform foundations — every gate machine-executable and evidence-producing, not a meeting.
Tip
Are you an enterprise engineering leader? Read Why Enterprises Need CAS.
flowchart LR
subgraph Control["Control plane - gsd-orchestrator"]
G[Goal admission<br/>typed, bounded, budgeted] --> S[Dependency-aware<br/>scheduling]
end
subgraph Execution["Execution plane - autogen"]
S --> W1[Worker fan-out<br/>isolated mutation scope]
W1 --> T[Typed failure states<br/>structured telemetry]
end
subgraph Governance["Governance plane"]
P[Promptimprover] -.gates.-> W1
C[cas-contracts] -.validates.-> T
E[cas-evals] --> V{Evidence<br/>gate}
end
T --> E
V -->|proven| M[Merge via PR]
V -->|failed| R[Bounded repair<br/>or halt]
R --> S
Full narrative, proof points, and every gate's falsifiable check: profile/VISION.md.
| Repo | Plane / category | What it does |
|---|---|---|
| gsd-orchestrator | Control | Autonomous issue-to-PR engine (.NET 10); goal admission and scheduling |
| autogen | Execution | Multi-agent worker fan-out on Microsoft Agent Framework (Python) |
| Promptimprover | Governance | MCP-first prompt governance and traceability |
| cas-contracts | Governance | Versioned lifecycle schemas — prompts, events, artifacts, FailureState |
| cas-evals | Governance | Deterministic evaluation and evidence-gate verification |
| cas-reference-product | Proof | End-to-end reference workload with a verified case study |
| cas-platform | Platform | Azure hosting/observability foundation — bicep-ready, deploy-locked |
| cloud-security-service-model | Platform | Enterprise cloud security operating model |
| cas-workstation | Workstation | Windows-first AI-native developer workstation bootstrap |
| autopilot-core | CI Automation | Control plane for org-level CI repair automation |
| ci-autopilot | CI Automation | Worker/runtime for queued repair execution on self-hosted runners |
| autopilot-demo | CI Automation | Bounded demo target for the full failure-to-fix loop |
| .github (this repo) | Org | Governance, community health files, and this profile |
Evaluating this portfolio quickly? Read in this order:
- Vision — the governance-with-speed thesis and proof points.
- Verified case study — real evidence, not a demo script.
- cas-workstation — the reproducible developer baseline.
- cas-contracts — shared lifecycle and traceability model.
- gsd-orchestrator — autonomous execution design.
- C#/.NET, TypeScript, Python, PowerShell, and Bicep across one coherent platform story
- Versioned cross-repository contracts and reproducible evaluation evidence
- MCP integration as infrastructure, not just local tooling
- Multi-agent and autonomous workflow design with operational guardrails
- Enterprise-oriented concerns: auditability, resilience, boundaries, rollout, and documentation
- Azure managed identity, infrastructure-as-code, observability, and hybrid architecture
Shared contribution, security, support, governance, intake, dependency, and release policies are
maintained in this organization .github repository.
Repository-specific standards may be stricter.
Built by @OgeonX-Ai.