Martimus Business Algorithms
← Engineering

How We Build

One method, every time. It is deliberately unglamorous — that is why the result is a running system rather than a promising prototype.

  1. 01

    Discover

    Understand the business, the constraints, and what actually needs to change.

    • Understand the business, not just the request.
    • Find the real constraint — the thing that actually needs to change.
    • Agree on what success looks like, in terms a non-engineer can verify.
  2. 02

    Model

    Represent the operation as systems — data, workflow, decisions, integrations.

    • Represent the operation as systems: data, workflow, decisions, integrations.
    • Decide what is a rule, what is a model, and what stays a human judgment.
    • Design for the integrations from the start — nothing built as an island.
  3. 03

    Engineer

    Build it: tested, reviewed, and held to a definition of done.

    • Build the minimum system that solves the problem, tested as we go.
    • Review every change; keep diffs small and traceable.
    • Match the existing style so the result is maintainable by others.
  4. 04

    Validate

    Prove it works — automated tests, evidence, and honest evaluation.

    • Automated tests prove behavior; bugs are reproduced before they are fixed.
    • Evidence, not assertion — we show the passing check, the external result.
    • Accessibility, performance, and links are verified, not assumed.
  5. 05

    Deploy

    Ship to the right environment: cloud, private, self-hosted, or hybrid.

    • Ship to the right environment: cloud, private, self-hosted, or hybrid.
    • Immutable releases, switched atomically, previous version retained.
    • Verify the live result externally before calling it done.
  6. 06

    Operate

    Monitor, maintain, and improve — with rollback and recovery in place.

    • Monitor for failure so we find it before the business does.
    • Maintain, patch, and improve on a known-good baseline.
    • Keep rollback and recovery one step away, always.

The method is boring on purpose. Skipped discovery produces the wrong system quickly; skipped validation produces a system nobody can trust; skipped operations produces a system that dies the first time it is left alone. We do not skip.

Next: Reference architecture