AI

Context Engineering & Workflows

I focus on designing effective context engineering strategies for both full projects and specific tasks. AI is a powerful assistant which requires clear and precise guidance to produce efficient, readable, and maintainable code or solutions without unnecessary complexity.

My ongoing exploration includes:

• Agentic development: combining multiple AI agents for task-specific workflows.
• Personal context storage: saving workflows, work-history and prompts for reuse.
• Enhancing productivity through continuous investments in AI testing and application.

Assisted Development

• VS Code Copilot as base for scaffolding, code and refactor
• Experienced Cursor, Windsurf, Continous.dev, Cline and Roo Code
• MCP servers: context, agentic workflows
• Custom agent prompting & saved prompts
• Context engineering for smarter AI
• AI-powered IDE/CLI tools
• Testing new AI tools & models
• Hugging Face, OpenRouter, open-source LLMs
• Agentic development: multi-agent orchestration
• AI for docs, research, project management

Experience

• Rapid prototyping with AI
• Built demo agentic dev systems
• Context-rich and selective work environment for smarter AI
• Early adopter, remaining up-to-date, proven adaptability in a fast moving space
• Integrated AI in a frontend chat-module using SolidJS Deep-Chat