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Architecture Review

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This document defines the Architecture Review methodology for software engineering.

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Target models
GPT-6 AstraGPT-5.6GPT-5.5GPT-5 FamilyFuture GPT Models
Version
1.0.0

#architecture-review.md

Version: 1.0.0

Target Models

  • GPT-6 Astra
  • GPT-5.6
  • GPT-5.5
  • GPT-5 Family
  • Future GPT Models

#Purpose

This document defines the Architecture Review methodology for software engineering.

Architecture review ensures that every implementation strengthens the overall system rather than introducing technical debt.

The objective is to verify that new code integrates naturally into the existing architecture while improving scalability, maintainability, reliability, and long-term engineering quality.

Architecture should evolve intentionally—not accidentally.


#Core Philosophy

Understand

Observe

Analyze

Evaluate

Improve

Verify

Approve

Architecture is a system of decisions.

Every implementation is an architectural decision.


#Primary Objective

Every architecture review should answer one question.

"If this implementation becomes the foundation for the next five years, would we confidently build on top of it?"

If the answer is uncertain,

the architecture requires improvement.


#Architecture Principles

Every architecture should maximize

Correctness

Simplicity

Maintainability

Scalability

Reliability

Extensibility

Developer Experience

Operational Stability

Never sacrifice architecture for short-term convenience.


#Review Workflow

Understand Product

Understand Existing System

Review Architecture

Review Dependencies

Review Scalability

Review Risks

Review Future Growth

Approve


#Stage 1 — System Understanding

Before reviewing determine

What problem does the system solve?

Who are the users?

What are the business objectives?

What constraints exist?

What is the expected scale?

Architecture without business understanding is incomplete.


#Stage 2 — Structural Review

Inspect

Modules

Packages

Services

Layers

Boundaries

Responsibilities

Folder organization

Project structure

Every module should have one clear responsibility.


#Stage 3 — Responsibility Review

Verify

Single Responsibility

Separation of Concerns

Encapsulation

Dependency Direction

Abstraction Boundaries

Business Logic Isolation

Responsibilities should never overlap.


#Stage 4 — Dependency Review

Review

Internal dependencies

External dependencies

Shared utilities

Third-party libraries

Dependency direction

Circular dependencies

Tight coupling

Dependencies should move inward.

Complexity should not.


#Stage 5 — Layer Review

Verify

Presentation Layer

Business Layer

Application Layer

Infrastructure Layer

Persistence Layer

Each layer should communicate through well-defined boundaries.

Avoid leaking implementation details across layers.


#Stage 6 — Component Review

Inspect

Components

Services

Hooks

Utilities

Providers

Contexts

Controllers

Repositories

Components should be cohesive.

Not overloaded.


#Stage 7 — Data Flow Review

Verify

Input flow

Business processing

State updates

Database interactions

API communication

Output generation

Data should move predictably.

Avoid hidden flows.


#Stage 8 — State Management Review

Review

Global state

Local state

Server state

Caching

Synchronization

Derived state

State ownership

State should exist only where necessary.


#Stage 9 — API Architecture Review

Inspect

Service boundaries

REST consistency

Versioning

Authentication

Authorization

Validation

Error handling

Contracts

APIs are architectural boundaries.

Protect them carefully.


#Stage 10 — Database Architecture Review

Review

Schema design

Relationships

Indexes

Constraints

Transactions

Migration strategy

Data ownership

Database design should support future growth.


#Stage 11 — Scalability Review

Evaluate

Horizontal scaling

Vertical scaling

Stateless services

Caching

Queue systems

Concurrency

Large datasets

Future feature expansion

Architecture should scale without redesign.


#Stage 12 — Performance Architecture Review

Inspect

Rendering strategy

Query efficiency

Caching

Lazy loading

Streaming

Async processing

Background jobs

Architecture should eliminate bottlenecks.

Not hide them.


#Stage 13 — Security Architecture Review

Verify

Authentication

Authorization

Trust boundaries

Secret management

Encryption

Validation

Privilege separation

Security should exist throughout the architecture.

Not only at the API layer.


#Stage 14 — Reliability Review

Review

Retries

Timeouts

Fallbacks

Recovery

Logging

Monitoring

Error isolation

Failure domains

Reliable systems expect failure.


#Stage 15 — Extensibility Review

Ask

Can new features be added without rewriting existing modules?

Can new services be introduced naturally?

Can functionality be extended through existing abstractions?

Architecture should welcome change.

Not resist it.


#Stage 16 — Maintainability Review

Inspect

Code organization

Naming

Documentation

Consistency

Module size

Abstraction quality

Developer onboarding

Future engineers should understand the architecture quickly.


#Stage 17 — Operational Review

Verify

Deployment

Configuration

Environment management

Secrets

Observability

Monitoring

Logging

Disaster recovery

Architecture continues beyond development.


#Stage 18 — Technical Debt Review

Identify

Duplicated systems

Large modules

Circular dependencies

Dead code

Unused abstractions

Hidden complexity

Over-engineering

Technical debt should decrease after every review.


#Stage 19 — Future Readiness Review

Evaluate

Growth potential

Team scalability

Feature scalability

Multi-region support

Localization

Plugin architecture

Microservice migration

Future architecture should require evolution.

Not replacement.


#Architecture Quality Attributes

Review

Correctness

Reliability

Availability

Maintainability

Extensibility

Security

Scalability

Observability

Performance

Portability

Interoperability

Developer Experience

Each attribute contributes to long-term software quality.


#Review Questions

Before approval ask

Does every module have one responsibility?

Does every dependency have purpose?

Can the system grow naturally?

Will another engineer understand this?

Does architecture remain consistent?

Does this reduce technical debt?

Would this architecture survive five years of development?


#Severity Levels

Critical

Broken architecture

Security boundary violation

Data integrity risk

Circular dependency

Major

Poor separation

Over-coupling

Weak abstractions

Scalability concern

Minor

Naming

Folder organization

Documentation

Refactoring opportunity

Suggestion

Improved abstraction

Future optimization

Better organization


#Architecture Checklist

✓ Clear responsibilities

✓ Layer separation

✓ Dependency direction

✓ Scalable design

✓ Reliable communication

✓ Secure boundaries

✓ Minimal coupling

✓ High cohesion

✓ Future extensibility

✓ Operational readiness

✓ Technical debt reduced

✓ Documentation updated


#Anti-Patterns

Avoid

God Objects

Massive Components

Circular Dependencies

Business Logic Inside UI

Database Logic Inside Controllers

Duplicated Systems

Deep Inheritance

Hidden Dependencies

Over-Abstraction

Premature Microservices

Architecture Driven By Framework

Architecture Without Business Purpose


#Definition of Done

Architecture review is complete when

  • Every architectural decision has a clear purpose.
  • System boundaries remain well defined.
  • Responsibilities are properly separated.
  • Dependencies are intentional and minimal.
  • Scalability has been considered.
  • Reliability is improved.
  • Security boundaries are preserved.
  • Technical debt has not increased.
  • Future engineers can extend the system confidently.
  • The implementation strengthens the architecture instead of weakening it.

Great architecture is invisible to users but invaluable to engineers.

Its success is measured not by complexity, but by how easily the system can evolve over time.