Agentic Pipelines

Bespoke agentic pipelines are the multiplier behind both methodology systems.

The leverage does not come from a generic agent running with a giant prompt. It comes from purpose-built pipelines with roles, permissions, observability, and project-specific operating rules.

Teams running bespoke pipelines see up to 17x automation output increase at full adoption and 20x engineering leverage improvement. Numbers that generalized agents never reach. This paper explains why, with data from 30+ engagements.

What's inside

• Why bespoke beats generic: the rediscovery overhead that accounts for 15-30% of generalized agent work
• Pipeline architecture: roles, permissions, observability, and project-specific rules
• The 0-1 review round pattern vs the 2-4 rounds typical of generic agents
• Design methodology: how to build a pipeline for a specific codebase and team
• Integration with QE and TDD: how pipelines operationalize both methodology systems
• The starter kit: a working template for standing up your first bespoke pipeline

Who this is for

Platform engineers, DevOps leads, and engineering managers who are evaluating agentic CI/CD tooling. Teams that have tried generic AI agents and hit a ceiling. Leaders who want to understand the structural difference between bespoke and generic approaches.