Centralized AI Generation Function (AIGF)
Consolidating all AI-assisted development into a single organizational function ensures consistent Output Quality Assurance (OQA) and eliminates dangerous local optimization!
Tag: Automation
CI/CD/ED
Continuous Isolation / Continuous Deliberation / Eventual Delivery is the most effective way to ensure perfection for every change!
Categories:
Automated Corrective Action Engine (ACAE)
Threshold-triggered warnings, improvement plans, and separation actions – because compassion means never making a manager deliver bad news.
Build Engineers
YAML experts who ensure Code Engineers never waste time on build concerns and can focus entirely on feature delivery!
Code Volume Productivity (CVP) and Large Artifact Velocity (LAV)
Replacing outdated flow metrics with volume-based KPIs ensures that AI-assisted development is measured by what matters most: sheer output!
Fully Documented Requirements Package (FDRP)
Freezing a complete requirements model before engaging AI ensures Zero-Iteration Delivery (ZID) and eliminates the waste of iterative discovery!
End-of-Cycle Integration Events (ECIEs)
Consolidating all AI output into a single integration window at the end of each Program Increment ensures holistic evaluation and prevents the destabilizing effects of early feedback!
AI-Powered Talent Optimization (AIPTO)
Machine learning models trained on SADMF metrics predict which employees will leave – and recommend which ones should.
Manual Test Operations Center (MTOC)
Preserving dedicated manual testing for all AI-generated code ensures Dual Assurance through the separation of Development Intent from Quality Interpretation!
Legacy Architectural Integrity (LAI)
Ensuring AI operates within existing monolithic systems preserves Output Consistency Assurance (OCA) and eliminates the risk of unscoped optionality!
Deploy the Fleet
Delivering software is scary. We need layers of process to feel better.
Prompt Operating Procedures (POP-Ops)
Mandating a single, enterprise-wide Prompt Operating Procedure reduces cognitive load, eliminates contextual variation, and ensures AI Request Uniformity across the organization!
High-Risk, Backlogged Strategic Epics (HRBSEs)
Backlog items deferred due to complexity, risk, or unclear intent become ideal candidates for AI execution, supporting Backlog Compression Objectives and reducing Unfulfilled Commitment Overhang!
Environment Access Governance (EAG)
Restricting AI workflows to Non-Production, Non-Prod-Like Environments (NPNPLEs) protects regulatory compliance and ensures all validation occurs immediately prior to Go-Live!
Change Approval Board (CAB) Processing
Requiring full CAB review for every AI-generated change, regardless of size or impact, guarantees Governance Fidelity, Audit Trail Robustness, and Multi-Stakeholder Visibility Alignment!
Enterprise AI Enablement Framework (EAIEF™)
A Strategic Reference Architecture for High-Throughput Developer Output Optimization (HTDOO)