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new-world-coder/README.md

Building the open-source trust layer for AI governance

Currently building RiskLine — an open-source, deterministic risk classification engine and API for the EU AI Act, written in Go. Developer-first, auditable, no black-box LLM verdicts.

Background: backend and cloud engineering across enterprise environments — microservices (REST & gRPC), distributed systems, and AI-adjacent architecture.

Stack

  • Backend: Go, Python, Java/Spring Boot, Node.js, Rust
  • Data: MongoDB, MySQL, PostgreSQL
  • Cloud: AWS, Azure
  • Frontend (when needed): React, Vue

Currently focused on: AI governance tooling, policy-as-code, and developer-first compliance infrastructure.

📫 LinkedIn: https://www.linkedin.com/in/northstarcoach

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  1. oasis oasis Public

    Durable Rust agent runtime: hash-chained effect journal, policy-before-effect, HITL, crash-resume. Apache-2.0 oasis for auditable agents.

    Rust 1

  2. riskline riskline Public

    Multi-regime AI risk classification — EU AI Act shipping; Singapore MAS FEAT/AIRG regime packs on the roadmap. Deterministic Go CLI & API, versioned rulesets, no LLM Calls.

    Go

  3. claim-center claim-center Public

    Production-grade multi-tenant SaaS reference platform for insurance claims operations — React SPA + Spring Boot microservices on Kubernetes/GKE.

    Java 1

  4. aegisproof aegisproof Public

    Vendor-neutral evidence packages for AI systems: aegisproof.yaml lists evals, policies, tests & artefacts with SHA-256 digests; local CLI verifies integrity in CI—no LLM, no SaaS. Not legal complia…

    Go 1