- AI-native product engineering: Work on context engineering, retrieval / knowledge grounding, and evals — building AI in as a first-class part of the product with real verification gates, backed by human review.
- Full-stack development: Get hands-on with frontend and backend in a production TypeScript monorepo (React/Next.js, Node.js APIs, Singapore Design System) used by real government teams.
- Modern engineering workflow: Practise spec-driven development, working alongside AI coding agents under proper review, and owning work end-to-end.
- Engineering discipline: Git-based collaboration, code review, automated testing, and CI/CD on a live public-sector product.
- Problem-solving in context: Turn a real inter-agency coordination problem into a product that measurably reduces the manual effort people spend today.