Paul Weber

The delivery platform for a large scaled-agile program split into several team clusters, with quality reporting and traceability built in.

Decision

Traceability as code, not in a separate tool: every Conan package carries its provenance (source revision, merge request, pipeline run), merge requests are linked to tickets, and runners are released as versioned infrastructure with Terraform. Any release resolves back to its tickets, exact sources and build environment, with nothing to keep in sync by hand.

Decision

Quality reporting as a platform capability: the platform captures and exposes quality data, teams decide what to measure and how to act on it.

Built

The whole CI behind it: image builds, tooling, quality gates, scalable pipelines and quality reporting.

Turns regulations into concrete actions for companies, using AI agents.

Decision

Designed and specified with arc42: quality goals first, domain core isolated from the AI agents via ports, so models can change without touching business logic.

Decision

LLM extraction with human review: every AI result is traceable to its source and confirmed by a person before it counts.

Built

Architecture, backend, AI agents, frontend and cloud infrastructure.

Lets developers extend a multi-repo platform from day one, guided by their AI agent.

Decision

Architecture rules and patterns shipped as agent skills instead of docs, so every change follows the same design, whoever writes it.

Decision

Tool-agnostic: works with Claude Code, OpenCode and Pi alike.

Built

Skills, patterns and the harness that delivers them.