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CIAS

Component Impact Analysis, Agentic Delivery Governance, and Hecate Need Creation (CIAS)

1. Purpose​

This specification defines how ZAYAZ derives engineering impact, dependency analysis, workflow validation requirements, rollback procedures, and agent-development governance from canonical component metadata.

The objective is to enable safe autonomous development while preserving:

  • Architectural integrity
  • Compliance traceability
  • System-wide correctness
  • Ruleset governance
  • Schema compatibility
  • Auditability
  • Agent accountability

This specification establishes the canonical relationship between:

  • Components
  • Interfaces
  • Schemas
  • Contracts
  • Rulesets
  • Jira Needs
  • GitHub Issues
  • Coding Agents
  • Workflow Tests
  • Rollback Procedures

2. Core Principles​

Principle 1: MDX is the Source of Truth​

Component specifications are authoritative.

Jira, GitHub, coding agents, test plans, and deployment pipelines consume derived metadata.

No engineering artifact may become the architectural source of truth.

Principle 2: Architecture Before Tickets​

Tickets never define architecture.

Tickets reference architecture.

Component metadata must exist before implementation work is initiated.

Principle 3: Rulesets are Governed Artifacts​

Rulesets are first-class governed artifacts.

All rulesets must:

  • Be versioned
  • Be registered
  • Be linked to components
  • Be linked to schemas
  • Be linked to contracts
  • Follow approval workflows
  • Support supersession

Principle 4: Impact Analysis is Automated​

Impact analysis shall be derived from metadata and graph relationships.

Manual impact estimation is prohibited whenever metadata exists.

Principle 5: Human Intent, Machine Execution​

Humans define:

  • Intent
  • Acceptance criteria
  • Governance policies

Machines derive:

  • Dependencies
  • Impact analysis
  • Workflow tests
  • Rollback procedures
  • Agent routing

3. Component Model​

Each component specification shall define:

component_id:
semantic_id:
interfaces:
schemas:
contracts:
rulesets:
test_profiles:
rollback_profiles:
criticality:

Component metadata remains the canonical source for engineering governance.

4. Interface Model​

Interfaces represent logical capabilities provided by a component.

Interfaces are stable architectural entities.

Interfaces SHALL NOT be represented by Jira tickets.

Example:

interfaces:
  - interface_id: TG-CSI.trust-score-generation.v1

    purpose:
      Generate trust scores from assurance signals

    jira_refs:
      - ZYZ-123

    consumes:
      schemas:
        - schema.trust_signals@1.0.0

    produces:
      schemas:
        - schema.trust_scores@1.0.0

    contracts:
      - contract.trustgate.csi.trust-scores.v1

    rulesets:
      - ruleset.trustgate.csi.trust-score-calculation@1.0.0

5. ZIR — ZAYAZ Interface Registry​

A dedicated Interface Registry SHALL be established.

Purpose:

  • Resolve dependencies
  • Resolve workflow impact
  • Resolve downstream consumers
  • Resolve contract lineage

Registry structure:

zir_id:
interface_id:
producer_component:
consumer_components:
schemas:
contracts:
rulesets:
jira_refs:
version:

Note:

zir_id: ZIR-000001
interface_id: TG-CSI.trust-score-generation.v1

zir_id = immutable registry key. interface_id = human-readable/versioned interface key.

6. Contract Model​

A contract represents a versioned interoperability promise between components.

Contracts may include:

  • API contracts
  • Event contracts
  • Schema contracts
  • Ruleset contracts
  • Workflow contracts

Example:

contract_id:
producer_component:
consumer_components:
artifact_refs:
compatibility:

7. Schema Governance​

Schemas define structure.

Schemas SHALL NOT define business meaning.

Schemas validate:

  • Types
  • Required fields
  • Enumerations
  • Structural constraints

Business logic SHALL be implemented through rulesets.

8. Ruleset Governance​

Rulesets define semantic meaning.

Rulesets SHALL:

  • Reference components
  • Reference MEIDs
  • Reference contracts
  • Reference schemas
  • Reference signal identifiers

Example:

applies_to_component:
applies_to_meid:
linked_schemas:
linked_contracts:
linked_signal_ids:
rule_scope:
severity:
enforcement_mode:
fallback_logic:

9. Dependency Graph​

A dependency graph SHALL be maintained.

Relationships include:

Component
 → Interface
 → Schema
 → Contract
 → Ruleset
 → Consumer

The graph is the foundation for:

  • Impact analysis
  • Workflow generation
  • Blast radius calculation
  • Agent routing

10. Blast Radius Model​

Blast Radius SHALL be computed automatically.

Inputs:

  • Security level
  • Framework coverage
  • Consumer count
  • Contract changes
  • Schema changes
  • Ruleset changes
  • Public output exposure
  • Compliance exposure

Output:

blast_radius:
  score:
  level:
  reasons:

Levels:

  • Minimal
  • Low
  • Medium
  • High
  • Critical

11. Workflow Test Generation​

Workflow tests SHALL be generated automatically.

Inputs:

  • Component metadata
  • Interfaces
  • Schemas
  • Rulesets
  • Contracts
  • Dependency graph

Output:

test_plan_ref:
required_workflow_tests:

Workflow testing SHALL take precedence over manual validation whenever feasible.

12. Rollback Governance​

Rollback procedures SHALL be machine-readable.

Output:

rollback_plan_ref:

Rollback plans may include:

  • Feature rollback
  • Ruleset rollback
  • Schema rollback
  • Contract rollback
  • Deployment rollback
  • Replay validation

13. Hecate Need Creator​

Hecate is the canonical engineering-intake engine.

Pipeline:

Need
↓
Component Resolution
↓
Graph Analysis
↓
Ruleset Resolution
↓
Schema Resolution
↓
Contract Resolution
↓
Blast Radius Calculation
↓
Workflow Test Generation
↓
Rollback Plan Generation
↓
Jira Creation
↓
GitHub Issue Creation
↓
Agent Assignment

14. Jira Governance​

Jira stores implementation intent.

Jira SHALL NOT store architectural truth.

Derived Jira fields:

component_id:
semantic_id:
affected_interfaces:
affected_schemas:
affected_contracts:
affected_rulesets:
downstream_consumers:
blast_radius:
test_plan_ref:
rollback_plan_ref:

All derived fields originate from canonical metadata.

15. Agentic Development Governance​

Agents operate within approved governance boundaries.

Pipeline:

Approved Need
↓
GitHub Issue
↓
Agent Assignment
↓
Implementation
↓
Validation Gates
↓
Human Review
↓
Merge

Validation gates:

  • Build validation
  • Schema validation
  • Contract validation
  • Ruleset validation
  • Workflow validation
  • Security validation
  • Compliance validation

16. Future Extensions​

Planned future extensions include:

  • Automated blast-radius simulation
  • Agent routing optimization
  • Multi-agent implementation orchestration
  • Continuous dependency monitoring
  • Workflow replay validation
  • Autonomous regression generation
  • Predictive impact forecasting

17. Normative Statement​

This specification is the authoritative source governing:

  • Component impact analysis
  • Dependency resolution
  • Hecate Need Creation
  • Agentic development workflows
  • Workflow validation
  • Rollback generation

All future automation shall derive from this specification.



GitHub RepoRequest for Change (RFC)
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Last updated on by automation-bot