Attractor Engineering: Seeing Software Development as Field Dynamics

Short summary

Attractor Engineering frames a codebase as a field that attracts future changes: good architecture pulls PRs toward sound patterns, while poor structure repeatedly amplifies shortcuts. The framework uses field dynamics to explain how every participant—from product managers to CI systems to AI agents—shapes which changes feel natural. AI agents amplify existing patterns rapidly, making intentional field design critical.

• •Codebase design shapes which changes feel natural; good structure attracts good PRs
• •Every participant (PM, engineer, reviewer, CI, AI) applies force to the field and influences trajectory
• •AI agents amplify existing patterns, making pre-existing design decisions critical for velocity

Generated with AI, which can make mistakes.