gene-development

To create and stage reusable code patterns, use a gene authoring workflow that analyzes local code, synthesizes candidate outputs, performs similarity checks, and materializes approved genes into a staging store. This streamlines extracting patterns into shared repositories.

The process for turning local codebase patterns into shared genes involves automated read-only code analysis to identify reusable logic, synthesizing candidate outputs, and passing through user decision gates before staging. It ensures validated patterns enter the registry.

To materialize a gene from a markdown draft, pipe the draft via stdin into the gene authoring workflow. The system processes the input, validates the pattern, and stages the gene into the local registry for subsequent rebuilds.

Yes, user approval is required before staging genes into the registry. The workflow enforces user decision gates to ensure explicit approval is granted before candidate code patterns are materialized into the staging gene store.

Yes, you can perform read-only code analysis before synthesizing a gene. The workflow leverages dedicated investigation components to analyze local codebases without making modifications, enabling safe pattern discovery prior to staging.

Limitations of automated gene staging workflows include dependency on user decision gates for explicit approval and the necessity of local registry rebuilds after materialization. The system relies on read-only investigations and cannot bypass similarity checks.