Engineering Methodology
This page documents the methodological principles I apply when designing long-lived, integration-heavy software systems.
It is not a generic development workflow, but a system design doctrine grounded in runtime governance, architectural invariants, and evolvability.
System Design Doctrine
I treat software systems as governed execution environments, not as collections of isolated features.
This implies:
- architecture is a first-class artifact
- invariants are explicit and enforced
- runtime behavior is validated, not assumed
- execution contexts are isolated and controlled
- system evolution is an intentional design concern
The goal is not to maximize short-term delivery speed, but to preserve structural integrity over time.
Contract-First Development
I design systems starting from contracts, not implementations.
A contract defines:
- what a component must provide
- what it is allowed to depend on
- under which conditions it is valid
- which invariants it must preserve
This approach:
- reduces implicit assumptions
- prevents architectural drift
- makes integration failures deterministic
- decouples evolution from breakage
Contracts act as architectural boundaries between components, plugins, and runtime layers.
Runtime Governance
I explicitly govern what is allowed to enter a runtime.
This includes:
- validating modules before execution
- enforcing environment constraints
- isolating plugin contexts
- blocking non-conforming components
- propagating structured diagnostics
Runtime governance transforms runtime from a best-effort execution space into a controlled and inspectable system layer.
Modularity & Plugin Architectures
I favor plugin-based architectures when systems must:
- integrate heterogeneous capabilities
- evolve without centralized redeployment
- support third-party extensions
- remain vendor-agnostic
Key principles I apply:
- strict plugin boundaries
- explicit plugin lifecycles
- context isolation
- versioned interfaces
- backward-compatible evolution
Plugins are treated as first-class architectural units, not as ad-hoc extensions.
Validation & Diagnostics
I design validation as a core architectural capability, not as an afterthought.
This involves:
- structural validation of components
- contextual validation of environments
- runtime invariant checks
- deterministic failure semantics
- structured error propagation
Failures should be:
- early
- explicit
- reproducible
- diagnosable
This significantly reduces operational ambiguity and debugging cost in production systems.
Tooling as Architecture
I treat developer tooling as part of the system architecture.
This includes:
- CLI-driven workflows
- contract validation tools
- packaging and deployment automation
- reproducible environment setup
- runtime inspection utilities
Tooling is not auxiliary; it is a governance mechanism that enforces architectural rules in practice.
Testing Philosophy (TDD)
I apply Test-Driven Development (TDD) not only at the code level, but at the system behavior level.
My approach to testing includes:
- unit tests for core logic
- contract tests for component boundaries
- integration tests for runtime flows
- regression tests for invariants
- failure-mode tests for diagnostics
Tests are used to lock down:
- architectural assumptions
- compatibility guarantees
- runtime behavior
- evolution safety
Long-Term Evolution Strategy
I design systems to evolve safely over time.
This involves:
- backward-compatible contract changes
- minimum-compatibility validation models
- versioned interfaces
- gradual deprecation paths
- explicit migration strategies
System evolution is treated as a first-class architectural problem, not as a maintenance afterthought.
This methodology reflects the design principles applied in the case studies and projects documented on this site, including ImportSpy and the SAFE backend platforms.