A developer has built a gaming activity tracking web app using OpenAI Codex and deployed it on Eyevinn Technology's Open Source Cloud (OSC), providing a practical example of AI-assisted development on managed open source infrastructure.
The app lets users log gaming sessions, maintain libraries, and connect with friends through profiles that showcase top five games. Built primarily through Codex prompts, it uses OSC's MariaDB service for storing user profiles, saved games, and friend connections.
The developer claims Codex accelerated development by roughly 10x compared to manual coding, handling most deployment steps including connecting to MariaDB. The main friction point: Codex struggled with initial parameter store configuration for secrets management, though it managed the system once set up.
This demonstrates OSC's positioning as application hosting infrastructure beyond its core media streaming focus. Stockholm-based Eyevinn launched OSC to provide one-click deployment for 200+ open source services, targeting organizations wanting managed infrastructure without vendor lock-in. The platform starts at €200 monthly per service after a 30-day trial.
The broader context matters here: developers exploring AI coding assistants increasingly need deployment platforms that handle DevOps complexity. OSC's January 2026 tutorial showed Node.js and Python app deployment without DevOps expertise, suggesting deliberate positioning beyond media companies.
What this means in practice: managed open source platforms like OSC offer a middle path between fully managed services (higher cost, potential lock-in) and self-hosted infrastructure (higher operational overhead). For development teams evaluating alternatives like Kimai or OpenProject for activity tracking, or considering self-hosted monitoring stacks, the trade-off is clear: pay for managed services or invest in DevOps capacity.
Worth noting: the gaming tracking use case sits far from OSC's media streaming roots. That expansion, whether intentional or opportunistic, suggests the platform's architecture supports general application workloads. We'll see if Eyevinn pursues this market or remains focused on video infrastructure where clients like SVT and ITV use their services.