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— Fullstack Development

Continuum

Hive & Five

An AI platform that helps small and medium-sized businesses manage continuity and risk across their digital supply chains, built with a team at Hive & Five during my internship and funded by a government grant (MSB). My first sustained work in a real multi-developer codebase: code review, CI/CD, and automated unit + e2e tests.

React TypeScript Turborepo Playwright Vitest Vite GitHub Actions
~ when Feb 2026 – May 2026
~ team collaborative
~ kind Internship Project

Continuum is a production web platform I helped build as part of a team during my internship at Hive & Five - my first sustained experience contributing to a real multi-developer codebase rather than solo projects.

What it does

The platform is an AI-based tool that helps small and medium-sized businesses manage continuity and change across their digital supply chains. By combining external data sources such as threat databases, incident reports, and supplier information with machine learning models, it identifies risks, suggests mitigation strategies, and simulates continuity scenarios. It's cloud-based and pairs the analysis with hands-on exercises through the plugga.tech learning platform, so companies can understand, train, and apply continuity work in practice.

The project was developed with funding from MSB, the Swedish Civil Contingencies Agency.

How the team worked

  • Structured workflow with code review and branch discipline
  • CI/CD via GitHub Actions
  • Automated testing - unit tests and coverage with Vitest, end-to-end with Playwright
  • Monorepo managed with Turborepo and pnpm workspaces

Stack

React 19, TypeScript, and Vite across a Turborepo monorepo.

Implementation details remain under NDA, so this focuses on the product's purpose and how the team operated.

Frontend & UIInfrastructure & APICore Logic
About this chart
Each axis is a functional pillar; the orange area is where my focus went, and the purple how much of that work was AI-augmented. That AI layer is where tools sped up implementation - architecture, code review, and the quality bar stay mine. I treat AI as a precision tool with strict conventions, not auto-pilot.