Software Engineering
How we structure custom platforms — data modelling, permissions, background jobs, and the trade-offs behind each choice.
We are writing this properly rather than filling it quickly. Nothing is published yet. Below are the areas the first pieces will come from — all of them things we work on day to day.
How we structure custom platforms — data modelling, permissions, background jobs, and the trade-offs behind each choice.
Production web builds: rendering strategies, performance budgets, accessibility, and what we check before a release goes out.
Where automation earns its keep in an operation, where it does not, and how we measure a workflow before and after.
Getting from scattered operational data to reporting a team trusts, without building a second source of truth.
Deployment, environments, and cost — practical notes on running small-to-mid workloads without over-engineering the platform.
The baseline we hold ourselves to: authentication, secrets handling, dependency hygiene, and audit trails.
Connecting devices to systems that already exist — ingestion, reliability over poor networks, and making the data usable.
If there is something specific you want our reasoning on — an architecture decision, a platform choice, whether a workflow is worth automating — send the question over. We would rather answer it than have you wait on a post. You can also see how we work across our services.