F ramework
The AI-augmented methodology behind the work.
Evolution, the four disciplines of AI fluency, prompt engineering, the SDLC, and the knowledge base — the thinking that governs every build.
From Code to Governed AI
Software engineering has always been about managing complexity. For two decades, we refined the craft — design patterns, clean architecture, test-driven development. Then AI changed the equation. But not all at once.
From ad-hoc prompts to governed, structured workflows
From writing code to orchestrating contract-driven systems
Four Disciplines of AI-Augmented Engineering
Anthropic's AI Fluency Framework identifies four competencies for effective human-AI collaboration. The SBX framework implements all four as governed, automated processes — not guidelines to follow, but constraints the system enforces.
Effective AI collaboration starts with a clear division of responsibility. Not everything should be delegated, and not everything should be manual. Every task begins with sbx sdlc init — I define the scope, choose which applications and packages are affected, set the action type. The system derives everything else: which steps apply, which domain experts to load, which standards are relevant.
- Defines goals and user stories
- Makes architectural decisions
- Reviews, approves, deploys
- Strategy, UX, business logic
- Implements code from specifications
- Follows governed constraints
- Runs builds, tests, checks
- Step-by-step criteria execution
The quality of AI output is bounded by the quality of context it receives. Manual prompt engineering doesn't scale — you can craft a perfect prompt once, but not hundreds of times across a real project. SBX replaces manual prompting with automated context engineering. Each SDLC step generates a structured prompt with contextual knowledge injection.
AI can produce plausible-looking output that's subtly wrong. Discernment means building evaluation into the process itself, not relying on human vigilance alone. The Description-Discernment loop is embedded in the SDLC state machine — not optional, not skippable. Six gates stand between AI output and production.
When AI helps produce your work, you're still responsible for it. Every decision is immutable and auditable. Every exported function traces to a user story. PR workflow is mandatory — direct push to main is blocked by hooks. This website is the diligence statement: built entirely with AI-augmented development, every commit traceable.
From Chaos to Structure
Every AI interaction is a prompt. In a real project, that's hundreds of them — scattered across sessions, files, and contexts. SBX organizes each one by SDLC step, architecture layer, and domain.
Every AI prompt has a place. SBX finds it automatically.
Software Development Process
Five phases from goal to production — governed, traceable, autonomous. Each feature flows through MODEL → DESIGN → PLAN → BUILD → VERIFY with full governance at every gate.
Six disciplines. One governed workflow.
Built on 103 industry standards
Knowledge & References
A structured knowledge base covering framework definitions, schema design, and SDLC processes. Patterns, anti-patterns, and practical solutions that guide implementation decisions and maintain consistency across projects — actively used within the Feature-Driven Development workflow.
Books & References
Foundational texts that shape the development philosophy and process
A Practical Guide to Feature-Driven Development
The definitive guide to Feature-Driven Development (FDD) — five-process methodology, chief programmer roles, feature lists, design by feature, and build by feature. Primary source for the SBX SDLC governance framework.
Clean Architecture: A Craftsman's Guide to Software Structure and Design
Foundational text on software architecture principles — Dependency Rule, Clean Architecture layers (Entities, Use Cases, Interface Adapters, Frameworks), and component coupling laws. Directly influenced the SBX 4-layer FDD monorepo architecture (PD/MD/SI/UI layers).
Design Patterns: Elements of Reusable Object-Oriented Software
The original pattern catalogue: 23 GoF patterns across Creational, Structural, and Behavioral categories. Observer, Delegate, Factory, Coordinator, Repository — patterns that appear throughout every iOS project built across 20+ years.
Clean Code: A Handbook of Agile Software Craftsmanship
Practical guide to writing readable, maintainable code — meaningful names, small functions, single responsibility, error handling, and test-driven development. Applied daily across every language and platform.
Toolkit & Development Process
A structured workflow combining proven engineering practices with AI-driven execution — the SBX framework, SDLC tooling, and productivity tools that power every project.
SBX — AI-Augmented Framework
Go CLI and protocol layer that turn AI-augmented coding into a governed SDLC
go cobra yaml
sveltekit
SBX — Project Management Hub
Project management, deployment operations and full document preview for the SBX governance engine
sveltekit
typescript go
postgresql
Claude Remote — Remote Dev Environment
Work on projects from any device — Claude Code CLI + browser terminal + preview proxy, self-hosted
docker claude-code-cli go chi