agentic-jumpstart-architecture
Architecture guidelines for Jarvy CLI - codebase structure, tool implementation patterns, registry system, platform-specific code organization, and module conventions.
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Architecture guidelines for Jarvy CLI - codebase structure, tool implementation patterns, registry system, platform-specific code organization, and module conventions.
Performance optimization guidelines for Rust CLI tools. Covers efficient command execution, parallel processing, lazy initialization, allocation minimization, config parsing, and build optimizations for cross-p...
Dependency management guidelines for Jarvy - crate selection criteria, feature flag best practices, version management, security auditing with cargo-audit and cargo-deny.
Standards for API development, documentation, and maintenance using OpenAPI 3.0.
Guidelines for version control, commit conventions, and repository management.
Analyze the codebase for security vulnerabilities, including dependency issues, improper data handling, and configuration risks.
Guidelines for writing unit and integration tests, including mocking strategies and coverage goals.
Guidelines for deploying and managing the application on Heroku, including configuration and build troubleshooting.
Ensure the user interface meets premium design standards, maintains consistency with existing design tokens, and provides a polished user experience.
Best practices for code structure, error handling, and reducing duplication.
Use automatically during development workflows when making claims about tests, builds, verification, or code quality requiring concrete evidence to ensure trust through transparency.
Use when working with TypeScript's type system including strict mode, advanced types, generics, type guards, and compiler configuration.
Guide users through a structured workflow for co-authoring documentation. Use when user wants to write documentation, proposals, technical specs, decision docs, or similar structured content. This workflow help...
Use when optimizing code for performance, reducing bundle size, improving load times, or fixing performance bottlenecks. Emphasizes measurement-driven optimization.
Use when modifying, removing, or refactoring code that lacks test coverage. Emphasizes the danger of untested changes and the RGR workflow to add characterization tests before modifications.
Use when applying encapsulation and information hiding principles in object-oriented design. Use when controlling access to object state and behavior.
Use when pytest fixtures, conftest files, parametrize decorators, and fixture scopes for comprehensive test setup.
Master Python asynchronous programming with asyncio, async/await, and concurrent.futures. Use for async code and concurrency patterns.
Use when creating and using reusable Terraform modules for organizing and sharing infrastructure code.
Use when writing and organizing Terraform infrastructure-as-code configurations for cloud resource provisioning.
Use when typeScript async patterns including Promises, async/await, and async iterators with proper typing. Use when writing asynchronous TypeScript code.
Use when pytest plugin ecosystem including pytest-cov, pytest-mock, and custom plugin development.
Use when responding to questions or providing information requiring professional honesty and directness over excessive agreeableness.
Use when writing shell scripts that need to run across different systems, shells, or environments. Covers POSIX compatibility and platform differences.
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