Domain modeling and API design
Boundaries shaped around how your business actually behaves, so the system reflects the domain instead of fighting it.
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Backend & systems
Build systems that hold up under pressure.
APIs, data models, and services designed around real domain boundaries, predictable operations, and the team that will own them after handoff.
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How we think about it
Give the product a foundation that stays understandable under pressure.
Backends are felt at their edges. Nobody praises an API on a good day, but everyone meets the system the afternoon a report will not reconcile or a checkout double-charges.
Our work is to make those days rare and legible: boundaries that match the business, data models that refuse invalid states, and operations calm enough that nobody needs a hero.
Scope
What the engagement can include.
Reliable services and integrations
APIs, background jobs, queues, and third-party integrations built around retries, idempotency, and deliberate failure handling.
Observability and operational handoff
Structured logs, metrics, and documentation shipped alongside the system so your team can operate it confidently.
How we work
Three commitments we bring to every engagement.
Begin at the failure modes
Backend failures are felt at the edges: the report that will not reconcile, the checkout that double-charges, the sync that silently drops records. We start from those failure modes and work backward to the model.
Model the business, not the forms
We draw domain boundaries around how your business actually behaves — entities, events, and invariants expressed in the schema itself — so the system explains its behavior instead of depending on tribal knowledge.
Ship observable by default
Everything ships observable: structured logs, metrics, and runbooks written alongside the code, so the team that inherits the system can operate it under pressure without calling us first.
A typical engagement
Movements, adapted to the problem.
Modeling comes before migration in every engagement — changing code you do not understand only moves the mystery somewhere else.
Model the real system
We map the business rules and failure modes that matter, then design boundaries that keep change local.
Make operations boring
Observability, migrations, and handoff are part of the build so the system remains useful after launch.
What good looks like
Clear domain boundaries
Entities, events, and invariants expressed in the schema itself — the system explains its own behavior.
Predictable APIs and data flows
Behavior under load and failure is documented and observable, not discovered by customers first.
Operational visibility from day one
Runbooks and signals ship with the code, ready for the team that inherits them.
These are standing acceptance criteria, not aspirations. If any of them is not true at handoff, that is the first conversation we want to have.
Backend & systems, applied to your context
Bring us the version of this problem you have today.
A rough brief, a fragile system, or a decision you keep deferring is enough to start. We’ll help shape a useful first move.