Articles
Practitioner-focused analysis bridging research findings to enterprise adoption strategies.
The Specification Layer: Why Enterprises Can't Scale AI Development Without It
Why explicit, machine-readable specifications are the missing infrastructure for scaling agentic development across enterprise teams. Covers AGENTS.md, CLAUDE.md, SDD frameworks, and the four-tier specification architecture.
Topics: Specification layer, AGENTS.md, CLAUDE.md, SDD frameworks, enterprise scaling
The Autonomous Agents Loop: Why AI Agents Produce Better Output When You Stop Interrupting Them
Why autonomous AI execution loops outperform interactive assistance, and how enterprises can build the execution environment, context management, and multi-agent infrastructure to capture those gains.
Topics: Autonomous execution, Ralph technique, multi-agent architecture, context management, Plan-Execute-Verify-Iterate
About
These articles are companion pieces to the research papers, translating empirical findings into actionable guidance for engineering leaders and practitioners. They are part of a two-part series on scaling agentic development for enterprise teams.
Related Research
- Autonomous AI Agents: Execution Loops vs Interactive Assistance — the empirical evidence base
- Agentic Development Tools and Execution Architectures — architectural analysis of the tools discussed
- Spec-Driven Development Framework Patterns — framework comparison and adoption guidance