Custom Software
Tailored software built around your actual requirements.
Software designed for the way your organisation actually works, rather than forced into an off-the-shelf box.
Under the hood
A real-time view of how this is engineered, run and kept honest in production.
Implementation stack
TypeScript / Node.js and Python for service development
Event-driven microservices with clear bounded contexts (DDD)
PostgreSQL for relational data with transactional integrity
Docker + container registry for reproducible builds
CI/CD pipeline with automated test gates
API contract testing for integration safety
Observability (logging, traces, metrics) baked into every service
Live handling loop
Discover
Requirements, constraints and success criteria are agreed before code.
Model
DDD workshops map bounded contexts and domain language.
Build
Services ship in increments with unit and integration tests.
Review
Every change is code-reviewed and merged behind a green CI gate.
Deploy
Releases go through staging, then a reversible production deployment.
Evolve
The software is monitored, maintained and extended as needs change.
Production integrity
No code merges without review and a passing automated test suite.
Secrets never reach the client; access follows least privilege.
Rollback is a single, rehearsed action for every service.
Dependency updates are continuous, not a forgotten annual crisis.
Real-world use
A representative deployment of this service in practice.
Who it was built for
A logistics dispatcher running its entire operation on spreadsheets (anonymised).
The problem
Dispatch decisions lived in one person's workbook; every hand-off to the warehouse and partner carriers was manual, error-prone and completely opaque to managers who needed live visibility.
The deployment
CoveScreen designed a modular dispatch system with bounded contexts for orders, routing and billing, built it as API-first services, and integrated carrier and warehouse systems by contract.
The mechanism
An order event triggers routing, warehouse and carrier services through the message backbone; each service owns its data and exposes APIs verified by contract tests; a CI gate blocks breaking changes before they reach production.
Operational insight
Benchmark targets this is engineered to hold. Stats are framed as targets and SLAs — not fabricated outcomes.
- 100%
- Merges gated by automated tests in CI
- ≥ 80%
- Unit/integration coverage target
- < 1 hr
- Rollback time budget for any release
Discuss your custom software needs
Tell us about your goals and we will help you understand the right next step — with no obligation.