Production insights from teams building, scaling, and stabilising real systems.
We built CHERRISK for UNIQA from scratch. Years later, with AI tools deeply embedded in our workflow, we ask: what would we do differently? Faster delivery, smarter data pipelines, leaner teams — the architecture would look similar, but the journey would be half the length.
Read more →We took over business-critical legacy PHP portals at Netrisk, made their releases safe, and built a 10+ developer team that shipped confidently. Here is what that work taught us — and how we would approach the same challenge today with AI-augmented engineering.
Read more →We built a platform for UNICEF providing real-time video-based virtual classrooms with recording and live-broadcasting capabilities – built on Jitsi Meet and Jibri, with Terraform-managed infrastructure. The project demonstrates how we can deliver reliably and fast for globally sensitive, high-expectation clients.
Read more →Building an automated car wash kiosk system was simultaneously a hardware-software integration challenge, an embedded systems project and a business logic implementation. We delivered Rust-powered payment terminal control, an Angular kiosk UI and an Android cashier app as one cohesive system.
Read more →We hardened a Next.js/TypeScript multi-tenant event platform for scale: CI quality gates, incremental Playwright E2E coverage, and deterministic deploys—so teams ship faster with fewer regressions and incidents.
Read more →We took over business-critical legacy PHP portals and made releases safe: reproducible dev envs, CI/CD with quality gates, tests, and monitoring. Result: fewer incidents, faster iterations, and a 10+ dev team shipping confidently.
Read more →From greenfield to production: we built a Scala/Play insurance platform with event-driven CQRS, GraphQL, and robust CI/CD. The outcome: auditable delivery, faster product changes, and architecture ready for new markets and growth.
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