Martimus Business Algorithms
← Engineering

Engineering Principles

These are not slogans. They are the standards we actually hold, and they show up in the systems.

Evidence over assertion

We do not report that something works because it should. A claim is either backed by evidence — a passing test, an external check, an observed result — or it is marked unknown. "It compiles" is not "it works." This discipline is the difference between a demo and a system you can run a business on.

Tested by default

Behavior that matters gets a test that would fail if the behavior broke. Bugs are reproduced with a test before they are fixed, so they cannot come back silently. Our internal capital platform, for example, carries a substantial automated test suite covering its routes and workflow — that is what lets us change it without fear.

Surgical change

We touch only what the work requires. We do not "improve" adjacent code, reformat files we did not need to open, or refactor things that are not broken. Every changed line traces back to a reason. Smaller diffs are safer diffs, and they are far easier to review and roll back.

Security is a property, not a feature

Transport is encrypted, secrets never live in source, access follows least privilege, and deployment credentials are scoped to exactly what they touch and nothing more. We publish only the security facts we can prove — and we say plainly what is verified, what is under verification, and what is roadmap. See our Trust Center.

Safe deployment

We never treat production as the place to find out. Work moves through development and staging first. Releases are immutable and switched atomically, and a known-good previous version is always retained so rollback is a single step, not a rebuild. How we deploy →

A real definition of done

Done means: built, tested, deployed to the right environment, observable in production, documented enough for the next engineer, and with a rollback path. Anything short of that is in progress, and we say so.

Simplicity first

The minimum system that solves the problem beats the clever one that does more than was asked. We do not add speculative flexibility, abstractions for single uses, or configuration nobody requested. Complexity has to earn its place.

Next: How we build