ENJOY Software is a Melbourne software development company. We design, build and operate production systems end-to-end — architecture, code, security and cloud operations.
Small, senior and accountable. One team owns a product from the first commit to the production incident channel — no handovers, no diffusion of responsibility.
We build with AI where it earns its place: measured, evaluated and cost-controlled, not bolted on.
Selected Work
Each of these went from an empty repository to a live product with real users — including business case, architecture, frontend, backend, deployment pipeline, and operations.
A $2M-funded, AI-native sales platform that turns live deal data into deal guidance and pipeline intelligence. Built from an empty repository and operated in production for five years.
Spoken clinical exam practice for overseas-trained dentists: a real-time voice roleplay with an AI patient, then structured examiner-style marking against the exam rubric.
A consumer geography game grown into a live product with a real audience, a custom-built interactive globe and its own growth analytics.
Capabilities
Product engineering with the operational discipline of an enterprise platform — because we have run both.
Spec-driven development with AI coding agents: turn product intent into explicit requirements, architecture, acceptance criteria and tests, then use agents to implement, review and iterate against the specification. The result is engineering leverage — enabling a small, senior team to ship substantially more software without sacrificing quality, maintainability or control.
Full-stack web applications from first commit to production: React and TypeScript on the front, Python/Django or TypeScript services behind, PostgreSQL underneath.
LLM features that survive contact with real users — RAG over your own content, tool-calling agents, voice and realtime interfaces, structured outputs, regression evaluation and cost control.
Decomposing monoliths into independently deployable services, redesigning calculation-heavy workloads, and scaling platforms through order-of-magnitude growth in volume.