Software delivery & engineering operations. Since 2016.
Stack landing · Qt
When your roadmap needs fast native UIs, disciplined C++ for hot paths, and QML for polished interaction, we assemble and operate squads with the same payroll and compliance backbone we use for Indian and international clients in Europe and the Middle East.
Qt is the right tool when the product is desktop-first or native-adjacent, not when a generic web shell is enough. We use it when teams need predictable frame times, tight integration with C++ libraries, and a UI layer that stays maintainable as complexity grows.
Higher upfront cost: architecture, UI framework choices (Widgets vs QML), build and release pipelines, profiling baselines, and first stable release. Budget for discovery workshops and a short “foundation” milestone before feature velocity.
Lower and steadier monthly burn: backlog grooming, bugfix releases, small features, Qt version upgrades, and test hardening. Best when the codebase and product boundaries already exist.
Qt rewards adult supervision on threading, memory, and build hygiene. A sensible default is senior-led delivery with juniors and mid-level engineers owning well-scoped work under review — not a room full of only juniors on a performance-critical codebase.
Typical greenfield squads we have operated: 1 senior + 1–2 mid for early releases; maintenance often 1 mid full-time + senior part-time for review and hard problems.
Concrete programme shapes — names and sectors may be anonymised where clients require confidentiality.
C++/Qt desktop for traders: multiple windows, fast refresh of market data, integration with proprietary trading libraries, controls tuned for low-latency interaction.
Commercial 2D game: QML for presentation and flow; C++ for movement, collision, and AI where frame budget matters.
Custom Qt work is quoted in milestones after discovery — pricing. Team employment (when we employ engineers for you) uses monthly GBP team economics and documented pass-throughs — offshore app development · payroll/compliance.
For planning only, many Qt programmes follow the same pattern as other native stacks: focused milestones first, then multi-month greenfield products phased by release. Exact numbers depend on scope, legacy constraints, target platforms, and test depth — we confirm in writing before kickoff.