Replacing a spreadsheet-driven process
Turning a business-critical process that lives in shared spreadsheets into an application with roles, validation, history, and reporting.
We design and build backend systems, web applications, and API platforms where reliability, clarity, and maintainability matter as much as the first release.
Most software cost is incurred after launch. We optimise for the years that follow: explicit domain models, tested behaviour, observable runtime, and code a new engineer can understand in a week rather than a quarter.
Every new feature takes longer than the last because responsibilities are tangled and nobody is sure what a change will break.
An application that worked for the first thousand users slows down, times out, or fails unpredictably as data and traffic grow.
Critical business logic lives in a legacy system that is expensive to run, hard to staff, and risky to touch.
Packaged software covers 70% of the need, and the remaining 30% — the part that differentiates the business — is forced into workarounds.
Services in Go and other proven stacks, with clear module boundaries, explicit error handling, and automated tests at the right levels.
Server-rendered and interactive web applications that load fast, work on every device, and meet accessibility standards.
Versioned, documented REST and event APIs with authentication, rate limiting, and contracts that partners can build on with confidence.
Services that communicate reliably across process and network boundaries, with idempotency, retries, and failure modes designed up front.
Incremental replacement of legacy components behind stable interfaces, so the business keeps running while the platform improves.
Profiling-led improvements to latency, throughput, and resource usage — measured before and after, not guessed.
Schema design, indexing, query optimisation, and migration strategies for PostgreSQL and other relational and document stores.
Connecting new software to the systems the business already depends on, with clear ownership of data and failure handling.
Representative scenarios, described generally — not client case studies.
Turning a business-critical process that lives in shared spreadsheets into an application with roles, validation, history, and reporting.
Extracting high-change or high-load parts of an ageing application into well-defined modules or services without a risky rewrite.
Exposing internal capabilities to customers or partners through a secure, documented, and versioned API.
Diagnosing reliability and performance problems in an existing system and fixing root causes rather than symptoms.
We map the business rules, data, and constraints before writing code, and agree on what success looks like.
We choose the simplest structure that meets the requirements and document the decisions that shape it.
Working software ships in small, reviewable increments with automated tests and continuous integration.
We prepare monitoring, runbooks, and documentation so the system can be run and evolved by your team or ours.
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