Structured Development Loop
The core of KnowzCode is a phased workflow that ensures AI-generated code meets your quality standards. Each phase produces artifacts that the next phase validates against, creating a chain of accountability from idea to shipped code. No phase can be skipped unless the complexity tier allows it.
How it works
When you start a development task with /knowzcode:work, the framework classifies it by complexity and routes it through the appropriate phases. A full-tier task goes through Impact Analysis (what files and components are affected), Specification Drafting (design the solution), Building with TDD (tests first, then code), Quality Audit (spec completeness, gaps, and risks), and Finalization (docs, learning capture, commit). Each transition requires approval -- either from you or auto-approved in autonomous mode.
Diagram showing the five phases of the KnowzCode development loop
Screenshot coming soon
Why it matters
Unstructured AI coding often produces code that works in isolation but breaks existing functionality, misses edge cases, or creates architectural drift. The structured loop forces the AI to analyze impact before coding, write tests before implementation, and audit quality before shipping. Teams using this approach report fewer regressions and more predictable delivery timelines.
Before/after comparison of AI coding with and without structure
Screenshot coming soon
Related Features
Complexity Tiers
Automatically classifies work: Micro (single file), Light (2-phase), or Full (5-phase with all agents).
Quality Audit
A reviewer agent audits implementation against the original design for Architecture, Reliability, and Code quality.
Autonomous Mode
Quality gates auto-approved unless critical issues found. Safety exceptions always pause.