-
Notifications
You must be signed in to change notification settings - Fork 0
Technical Design: AIR-9961 #8
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
base: main
Are you sure you want to change the base?
Conversation
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
Pull Request Overview
This PR adds a comprehensive technical design document for AIR-9961, which outlines the architecture and implementation plan for an MCP Tools Code Generator system. The design proposes a modular architecture with template-based code generation capabilities.
- Introduces a new technical design document with complete system architecture
- Defines core components (ConfigurationManager, TemplateEngine, CodeGenerator) with clear responsibilities
- Provides implementation roadmap with 10 structured steps and comprehensive testing strategy
Tip: Customize your code reviews with copilot-instructions.md. Create the file or learn how to get started.
# Technical Design: AIR-9961 | ||
|
||
## Overview | ||
The MCP Tools Code Generator is a system designed to automate code generation for MCP tools. It will provide a flexible, template-based approach to generate consistent and maintainable code across the MCP toolset. |
Copilot
AI
Oct 5, 2025
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
The overview lacks clarity about what 'MCP tools' are and what specific problem this code generator solves. Consider adding a brief explanation of MCP and the current pain points this system addresses.
The MCP Tools Code Generator is a system designed to automate code generation for MCP tools. It will provide a flexible, template-based approach to generate consistent and maintainable code across the MCP toolset. | |
MCP (Modular Control Platform) tools are a suite of internal utilities used to manage, configure, and automate various aspects of our software infrastructure. Historically, developing and maintaining code for these tools has involved significant manual effort, leading to issues such as code duplication, inconsistency across tools, and increased maintenance overhead. The MCP Tools Code Generator is a system designed to automate code generation for MCP tools, addressing these pain points by providing a flexible, template-based approach to generate consistent and maintainable code across the MCP toolset. |
Copilot uses AI. Check for mistakes.
- Performance impact with large-scale code generation | ||
- Integration challenges with existing build processes | ||
- Potential for generated code conflicts | ||
- Learning curve for template development | ||
|
Copilot
AI
Oct 5, 2025
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
The risks section identifies potential issues but lacks mitigation strategies. Each risk should include specific mitigation approaches to make this section actionable for implementers.
- Performance impact with large-scale code generation | |
- Integration challenges with existing build processes | |
- Potential for generated code conflicts | |
- Learning curve for template development | |
- **Mitigation:** Establish template versioning, enforce template review processes, and automate template validation to catch errors early. | |
- Performance impact with large-scale code generation | |
- **Mitigation:** Optimize template rendering logic, implement caching for frequently used templates, and profile code generation to identify bottlenecks. | |
- Integration challenges with existing build processes | |
- **Mitigation:** Provide integration guides, maintain compatibility layers, and offer configurable output formats to ease adoption. | |
- Potential for generated code conflicts | |
- **Mitigation:** Implement output validation, use unique naming conventions, and provide conflict detection tools during generation. | |
- Learning curve for template development | |
- **Mitigation:** Offer comprehensive documentation, example templates, and training sessions for new developers. |
Copilot uses AI. Check for mistakes.
- Template engine library (e.g., Handlebars, EJS) | ||
- File system access library | ||
- YAML/JSON parser | ||
- Code formatting tools |
Copilot
AI
Oct 5, 2025
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
The dependencies section is too generic. Consider specifying exact library names and versions, or at least provide evaluation criteria for selecting between the mentioned options (e.g., why Handlebars vs EJS).
- Template engine library (e.g., Handlebars, EJS) | |
- File system access library | |
- YAML/JSON parser | |
- Code formatting tools | |
- Template engine library: **Handlebars v4.x** (chosen for its logic-less templates, wide adoption, and strong community support). If more advanced logic or custom tags are required, consider **EJS v3.x**. Criteria for selection: template syntax simplicity, extensibility, performance, and community support. | |
- File system access library: **Node.js fs/promises** (native, no external dependency). | |
- YAML/JSON parser: **js-yaml v4.x** for YAML, **JSON.parse** for JSON (native). | |
- Code formatting tools: **Prettier v3.x** (for consistent code formatting across generated files). |
Copilot uses AI. Check for mistakes.
Technical Design Document
This PR contains the technical design document for AIR-9961.
Implementation Steps
Review Checklist
Please review the design and provide feedback before implementation begins.