GobbyAI

Facilitates coordination of gobby build runs, ensuring tasks are managed and bugs are addressed for unattended operations.

Creates high-quality, distinctive frontend interfaces with polished code, avoiding generic aesthetics for web components and applications.

Enforces Python coding standards for typing, error handling, testing, and async operations, ensuring high-quality code practices.

Enforces Rust coding standards for ownership, error handling, types, testing, and async programming to improve code quality.

Provides a methodology for authoring and auditing technical documentation in Gobby, enhancing clarity and accuracy for readers.

Enables efficient code search and navigation with AST-aware analysis for better project understanding and impact assessment.

Guides users in creating Gobby rule YAML definitions interactively, ensuring valid syntax and conditions for behavior enforcement.

Generates and edits images using Nano Banana for various visual content needs, including thumbnails, icons, and illustrations.

Facilitates comprehensive reviews of plan documents to identify gaps and improve overall quality and testability.

Facilitates thorough code reviews and adversarial assessments to ensure code quality and identify potential vulnerabilities.

Facilitates comprehensive reviews of epic implementations against approved plans, ensuring compliance and quality before final handoff.

Facilitates PR-aware delivery and multi-worktree merges using GitHub, ensuring efficient branch management and conflict resolution.

Facilitates merge campaigns by surveying unmerged worktrees and routing them to appropriate merge workers or orchestrators.

Facilitates an interactive planning workflow, enabling users to draft, review, and finalize plans efficiently with Gobby.

Facilitates the ideation process by generating a concise Discovery Brief to guide research and planning stages.

Facilitates the architecture discovery stage by producing concise Architecture Briefs for effective product planning and handoff.

Enhances output clarity by eliminating filler and unnecessary language, offering three levels of compression for concise communication.

Facilitates lifecycle automation through an interactive build wizard, streamlining project management and task execution.

Enables rendering of interactive A2UI canvas elements in chat interfaces for enhanced user interaction and data collection.

Facilitates isolated parallel development in Git by creating independent clones for complete repo isolation and conflict management.