Frameworks
Maturity models and methodologies for product builders. Each framework provides a structured path for growth with tools, metrics, and practices.
DORA and SPACE in the AI Age
Measuring What Matters When AI Changes Everything
How traditional software delivery and developer productivity frameworks must adapt for AI-assisted development. Introducing AI-DORA and AI-SPACE: modified metrics for the era of AI product builders.
LLM-as-a-Judge
Automated Code Review at Scale
A practitioner's guide to replacing human code review with LLM-based evaluation, multi-judge aggregation, and VEAL loop integration for continuous validation.
Loop Engineering
From Prompt Engineering to Autonomous Agent Loops
A practitioner's guide to designing self-running AI coding agents with Claude Code, Codex CLI, and the REAL/VEAL loop patterns for production multi-agent systems.
Product Builder Maturity Model
Two Paths to End-to-End Product Ownership
A maturity model defining growth toward independent product ownership, with paths for both Product Managers and Engineers converging at the Product Builder level.
Software Delivery Autonomy Levels
From AI-Assisted to AI-Operated
A seven-level progression from traditional Agile teams to autonomous software delivery and operations, introducing ASDM for autonomous coding, review, validation, and operations.
Spec-Driven Development
From Vibe Coding to Structured AI Execution
A comprehensive guide to spec-driven development (SDD) methodologies and tools for AI coding agents, including GitHub SpecKit, AWS Kiro, AI-DLC Workflows, OpenSpec, and VisionSpec.