Practice · Engineering

Custom software development

Full-stack web and mobile engineering in TypeScript, React, Node, Python, .NET and React Native, cloud-native by default. Coder Trove builds the systems businesses run on and products companies sell, and judges the work by whether your own engineers can run it after handover.

Start a conversation See client work

The practice

Engineering for the long run.

Our practice builds software intended to outlast the engagement: versioned, tested, documented, and deployable by someone who was not in the room when it was written. Clients range from funded scale-ups building their first product to enterprises replacing systems their operations depend on, in Australia and internationally.

Engagements run through embedded engineers inside client teams, dedicated squads run by Coder Trove, and fixed-price delivery where the outcome can be defined. Sustained programmes draw on our Vietnam delivery centre for capacity, managed under one point of accountability.

What we deliver

Five lines of work.

WEB

Web applications

Customer-facing products and internal platforms in TypeScript, React and Next.js over Node, .NET and Python services. The practice covers the full slice: interface, API, data model and the deployment pipeline that ships it, with performance and accessibility treated as requirements rather than polish.

MOBILE

Mobile applications

Cross-platform mobile in React Native, sharing logic with the web codebase where it saves money and diverging where the platform demands it. Store submission, crash reporting and release management are part of the build, because a mobile app is a product with a lifecycle, not a project with an end date.

BACKEND

APIs and platform services

Service and API design in .NET, Node and Python: authentication, integration, queues and the data layer, built on Azure and AWS infrastructure designed by our cloud practice. Systems are observable from day one, with logging, tracing and alerting that make production behaviour explainable.

PRODUCT

Embedded product engineering

Engineers who join a client's product team and work inside its standups, codebase and release cadence. This is long-horizon work: most embedded engagements run beyond a year, and the engineers are chosen for judgement about the product, not just fluency in the stack. The Switch Automation case study shows the model in practice.

MODERNISATION

Legacy modernisation

Rebuilding and replatforming systems that have outlived their architecture: untangling the data, carving the monolith along seams that exist rather than seams that look good on a slide, and keeping the business running while the replacement lands incrementally. Big-bang rewrites are a last resort, and we say so up front.

Delivery

How the work runs.

Production quality from the first sprint

Source control, code review, automated testing and CI/CD are in place before the first feature, not after the first incident. Releases are small and frequent, so risk stays proportionate to the change and the business sees progress in software rather than status reports.

Security in the build

Dependency scanning, secrets management and secure defaults are part of the pipeline, and our cyber security practice is available for penetration testing with independent separation from the build team.

Handover as a deliverable

Documentation, architecture records and working sessions with the client's engineers are planned into the engagement. IP is assigned to the client under contract, and the measure of a good handover is that the team stops needing us on schedule.

Case study

Switch Automation

Engineers embedded in the product team of a US building analytics platform, shipping .NET services on Azure and the dashboards facilities teams run on.

READ THE CASE STUDY →

Common questions

Custom software, answered plainly.

Who owns the code and IP?
The client. Engagements run under a contract with IP assignment and confidentiality, so the code, designs and documentation belong to you from the start. The codebase lives in your repositories where preferred, and nothing about the engagement creates a dependency on Coder Trove that outlives it.
How do you choose the technology stack?
From what the client's team can hire for and operate, not from what is fashionable. Our core stack, TypeScript, React, Node, .NET, Python and React Native, covers most systems well, and departures from it need a reason that survives being written down. Boring technology that the market can staff beats interesting technology that one person understands.
Fixed price or time and materials?
Both, honestly applied. Fixed price fits work where the outcome can be defined: a migration, a defined product release, an integration. Time and materials fits product development where the roadmap moves with the market. What we avoid is fixed price over an undefined scope, which produces change-request theatre rather than certainty.
Where does the work get done?
Australian consultants, our Vietnam delivery centre, or a blend, depending on budget, time zones and the nature of the work. Blended teams run under one delivery lead and one standard, and clients see the same practices regardless of where an engineer sits. Sustained programmes usually blend; short advisory work is usually local.
Can you take over an existing codebase?
Yes, and it starts with an assessment rather than a rewrite pitch: what the system does, where the risk concentrates, what the tests cover, and what the previous team knew that was never written down. The first deliverables are usually stabilising ones, pipelines, tests and monitoring, because they make every later change cheaper and safer.
What happens after launch?
A defined support arrangement: bug fixes, dependency updates, monitoring and an enhancement backlog, at whatever scale the system warrants. Some clients keep a small retained team for years; others take the system fully in-house after handover. Both are planned outcomes, agreed before launch rather than negotiated after it.

Start here

Tell us what needs to be built.

A product to take to market, a system that has outlived its architecture, or a team that needs senior engineering capacity. A consultant who has done comparable work replies within one business day.