docs: update ai assisted programming

radar/2024-06-01/assisted-ai.md

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+---
+title:      "AI Assisted Programming"
+ring:       adopt
+quadrant:   "methods-and-patterns"
+tags:       [ai, architecture, coding]
+---
+
+### Adopting GitHub Copilot
+
+We've adopted AI Assisted Programming to enhance our overall efficiency and product quality, with [GitHub Copilot](../tools/github-copilot.html) serving as our primary tool for this purpose.
+
+Guidelines for its usage have been established, and we continuously refine our practices by sharing best practices and insights within our communities.
+
+The use of [GitHub Copilot](../tools/github-copilot.html) is currently project-based and requires customer consent. While utilizing it, we remain mindful of potential risks and actively work to mitigate them.
+
+### Potential Risks and Mitigation Strategies
+
+- **Code Quality and Reliability**: Validate and review generated code before integration into the project. Manual code reviews and testing should remain fundamental to the development process.
+
+- **Security Vulnerabilities**: Conduct thorough security assessments and penetration testing to identify and rectify potential weaknesses. Stay updated with security best practices and ensure AI-generated code aligns with secure coding guidelines.
+
+- **Intellectual Property Concerns**: Scrutinize licensing and usage terms of AI tools. Exercise caution when incorporating code snippets from external sources and ensure compliance with relevant licenses.
+
+- **Data Privacy**: Review data access and privacy policies of AI tools meticulously. Prevent inadvertent exposure or sharing of sensitive or confidential information with third parties.

radar/2024-06-01/github-copilot.md

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+---
+title:      "GitHub Copilot"
+ring:       adopt
+quadrant:   "tools"
+tags:       [ai, architecture, coding]
+---
+
+[GitHub Copilot](https://github.com/features/copilot) is an AI-powered code completion tool that integrates seamlessly with popular IDEs to assist our developers by providing code suggestions and automations based on natural language prompts.
+
+### Features and Benefits
+
+- **Contextual Code Suggestions**: Understands the context of your project and suggests relevant code snippets, functions, and even whole classes.
+- **Natural Language Understanding**: Converts natural language comments into functional code, helping developers quickly translate ideas into executable code.
+- **Code Generation Across Languages**: Supports multiple programming languages and frameworks, making it versatile for different project requirements.
+- **Automated Documentation**: Generates documentation comments automatically, aiding in better code maintenance and readability.
+
+See [AI Assisted Programming](../methods-and-patterns/assisted-ai.html) for more information on our adoption of AI tools in our development workflows.