AI-Native Product Manager Metrics
Input and output metrics for AI-Native Product Managers focused on customer request velocity. How to measure PM effectiveness when the goal is shrinking delivery time from years to 30 days.
Research papers and frameworks for product builders.
Input and output metrics for AI-Native Product Managers focused on customer request velocity. How to measure PM effectiveness when the goal is shrinking delivery time from years to 30 days.
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.
When building is cheap, only results are scarce. The Five Ps stage a product from Preparation to Profit, and answer the question the maturity models don't: not how good are you, but how far did the product get.
A practitioner's guide to replacing human code review with LLM-based evaluation, multi-judge aggregation, and VEAL loop integration for continuous validation.
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.
A maturity model defining growth toward independent product ownership, with paths for both Product Managers and Engineers converging at the Product Builder level.
AI-DLC, Spec-Kit, and OpenSpec run a single engineering loop: the task arrives from outside, and verification means the code matches the task. The two-loop model adds the missing Product Loop — originating what to build and verifying it worked — the same move Scrum@Scale made for Scrum.
A seven-level progression from traditional Agile teams to autonomous software delivery and operations, introducing ASDM for autonomous coding, review, validation, and operations.
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.
A deep dive into AWS's Project Mantle, where nine senior engineers used AI-first development practices to build a new inference engine with dramatically increased commit velocity.
How Cursor pioneered vibe coding, grew to 1M+ daily active users, and navigates the tension between free-form AI coding and spec-driven development.
How GitHub Copilot Workspace evolved from experimental browser-based IDE to the foundation of Copilot's agentic capabilities, introducing spec-driven workflows to mainstream development.
How Spotify built Honk, their background coding agent that has merged 1,500+ pull requests into production using Claude Code, constraint-based design, and years of platform infrastructure investment.
How StrongDM's Software Factory removes humans from coding and code review, replacing review with scenario-based validation and Digital Twin testing.