Agentic Platform & Governance Architect • Cognitive Mesh / Policy Spine / AI PR Automation
Outcome: Safer, faster iteration (governed, observable, low-friction delivery)
- cognitive-mesh: Agent + LLM orchestration, RBAC, audit, policy seams (RAG-ready).
- CognitiveMeshUI: Token-driven React/Next.js surface + interaction telemetry.
- autopr-engine: AI-in-loop PR heuristics + semantic diff weighting (review compression).
- vv-iac: Azure Bicep/Terraform + what-if + policy chain (cost/compliance guard).
- crisis-unleashed-app: FastAPI + React clean arch teaching baseline.
- home-lab-setup: Reproducible Azure homelab (P2S VPN, cert lifecycle, monitoring).
- Policy eval latency reduction.
- Deterministic audit event schema (forward-compatible).
- autopr-engine FP reduction via semantic weighting calibration.
- IaC promotion condensation: pre-merge what-if + policy collapse.
- cognitive-mesh /governance → policy_evaluation entrypoint
- autopr-engine /core → review_strategy
- vv-iac /pipelines → gated promotion pattern
decision = policy_engine.evaluate(workflow_id, context)
if not decision.allow:
audit.log(
workflow_id,
blocked=True,
policy=decision.policy_id,
reason=decision.reason
)
raise GovernanceBlock(decision.reason)
trace.record(
workflow_id,
policy=decision.policy_id,
eval_ms=decision.eval_ms
)Mermaid exec summary (auto-sync candidate):
flowchart LR
Client --> Runtime
Runtime --> Governance
Runtime --> Automation
Automation --> Repo[(GitHub)]
Runtime --> Delivery
Delivery --> Cloud[(Azure)]
Runtime --> Observability
Full spec → ARCHITECTURE.md
Agent Core • PR Automation • Infra Guardrails • UI Surface
Azure • Bicep/Terraform • .NET • Python/FastAPI • TypeScript/Next.js • REST/gRPC • Event-driven • OpenTelemetry • Policy-as-Code • GitHub Actions • Hex / selective DDD
Email: smit.jurie@gmail.com • LinkedIn: https://www.linkedin.com/in/juriesmit