01
Context before technology
Start with users, operations, constraints, risks, existing systems, and ownership before selecting a response.
Engineering system
Engineering standards for software that must keep working.
Algoza's public engineering principles connect architecture, development, quality, security, release, and operational stewardship.
What this means
Quality is designed into the system of work.
Tools and frameworks change. The durable standard is whether a decision is appropriate to the workload, understood by the people who will own it, supported by evidence, and safe to change.
- Prefer understandable systems
- Automate repeatable assurance
- Treat integration and operations as product concerns
- Document decisions with lasting consequence
Engineering principles
The principles behind technical decisions
02
Simple, not simplistic
Use the least complex design that meets current needs without closing responsible paths for expected change.
03
Secure by design
Consider identity, access, data boundaries, threats, misuse, auditability, and failure modes as architecture concerns.
04
Evidence over assertion
Use working software, tests, reviews, measurements, and decision records to support important claims.
05
Operability is a feature
Logging, monitoring, recovery, support, deployment, and maintenance influence design from the start.
06
Ownership over dependency
Documentation, maintainability, standards, and knowledge transfer should enable responsible client ownership.
07
Accessible by default
Interfaces should be perceivable, operable, understandable, and robust for the users they are designed to serve.
08
Data needs stewardship
Definitions, provenance, quality, access, retention, lineage, and lifecycle matter as much as storage technology.
09
AI requires evaluation
AI features need a defined task, appropriate data, evaluation, guardrails, human oversight, and failure handling.
Evidence standard
These are Algoza's public engineering expectations, not a claim of certification. Project-specific standards, tools, evidence, and exceptions are agreed according to client requirements and system risk.
Related assurance
Inspect the connected practices
Technology approach
How technologies are selected for the workload and long-term owner.
View detailsDevelopment standards
Source, review, testing, documentation, and release expectations.
View detailsArchitecture standards
How boundaries, trade-offs, integration, data, and operations are decided.
View detailsQuality assurance
A risk-based quality model spanning discovery, delivery, and production.
View detailsBring the requirement and its constraints.
Algoza will clarify the evidence, controls, decisions, and delivery route appropriate to the engagement.