Stack landing · Qt

Qt & QML product teams — built and run from India

When your roadmap needs fast native UIs, disciplined C++ for hot paths, and QML for polished interaction, we assemble and operate India squads with the same payroll and compliance backbone we use for international clients in Europe and the Middle East.

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Where Qt fits

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.

Multi-window desktop tools — trading, operations, engineering workbenches; keyboard-heavy workflows and dense data surfaces.
QML + C++ split — fluid UI in QML; physics, networking, game logic, and hot paths in C++ (education, simulation, consumer products).
Beside native SDKs — vendor APIs, proprietary engines, or performance libraries where a browser stack would fight you.
Long product life — teams that expect years of iteration, not a one-off campaign site.

Greenfield vs maintenance

New product / major version

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.

Maintenance & extension

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.

How we staff junior vs senior

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.

Senior Qt/C++ — architecture, performance profiling, plugin boundaries, CI, integration with native libraries, code review.
Mid-level — feature slices in QML/C++, automated tests, refactors inside agreed patterns.
Junior — UI polish, smaller modules, test cases, tooling support — effective when tasks are bounded and reviewed weekly.

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.

Representative delivery (on-page summary)

Concrete programme shapes — names and sectors may be anonymised where clients require confidentiality.

TradingSystemAPI UI

C++/Qt desktop for traders: multiple windows, fast refresh of market data, integration with proprietary trading libraries, controls tuned for low-latency interaction.

Qt widgets / views for dense operational layouts
Tight coupling to native strategy and market-data codepaths
Release discipline suitable for regulated or high-stakes desks

MONTAL Game (Qt/QML)

Commercial 2D game: QML for presentation and flow; C++ for movement, collision, and AI where frame budget matters.

Performance-critical loops kept out of QML
Shippable consumer product, not a prototype
Iteration cycle across gameplay and UI polish

Cost expectations (software vs workforce)

Custom Qt work is quoted in milestones after discovery — not as a percentage of payroll on our public pricing page. India employment (when we employ engineers for you) uses the same transparent model as the rest of Sevendyne: Total Cost = Staff Salary + Management Fee at the tier that matches your entity and EOR needs (5%, 10%, or 15% of gross payroll).

For planning only, many Qt programmes fall in the same bands as other native stacks: focused milestones often mid four-figures to low five-figures USD; multi-month greenfield products often five figures and up, phased by release. Exact numbers depend on scope, legacy constraints, target platforms, and test depth — we confirm in writing before kickoff.

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