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S4U Development Methodology

A governed workflow for AI-assisted software engineering

An operating method for AI-assisted analysis, engineering and review. Connect approved business intent to bounded execution, inspectable evidence and living documentation. Adopt the controls that apply to your project, and verify their behavior before relying on them.

See the verifiable benefitsWhy a methodology?

Practices to adopt and verify in your project:

Design-led
scope and intent before implementation
Evidence-led
checks, outcomes and gaps recorded
Governed
decisions tied to explicit authority
Adaptable
project profiles and bounded adapters

Quality as Architecture

Instructions, local checks, review and server-side controls play different roles. Configure and test each mechanism in its actual environment; none establishes complete product quality on its own.

Evidence over Claims

Report what was checked, on which candidate, and what remains unknown. A green command is useful evidence only when its scope, execution and expected results are understood.

Design before Code

Connect business intent to architecture and delivery through reviewed artifacts. AI assists analysis and implementation; accountable owners retain approval of meaning, scope and release.

A reading path

  1. Why a Methodology — the failure modes of unsupervised AI code generation.
  2. Verifiable Benefits — mechanisms, verification steps and their limits.
  3. Philosophy — the principles and the failure modes they address.
  4. Development Lifecycle — the full cycle, the bug-fix cycle, the code-review cycle.
  5. The Machinery — instruction hierarchy, agents, memory, and quality gates.
  6. Adopt It — bring the methodology into your own project.