AI-Powered Development Workflows

Overview

Hands-on exploration and implementation of AI-powered development workflows, focusing on how enterprise development teams can effectively adopt agentic coding tools. This includes building practical configurations, workflows, and best practices for teams using a mix of AI coding assistants.

Key Initiatives

Unified AI Configuration System (AGENTS.md)

Designed and implemented a cross-tool AI configuration system for a mixed development team using both Claude Code and Cursor. The system uses AGENTS.md as a single source of truth with a shared .agent/skills/ directory for cross-tool skill definitions. Targets compatibility across Claude Code, Cursor, Copilot, Codex, and Antigravity on mixed Windows/Linux environments.

Claude Code Hybrid Workflows

Built a hybrid workflow combining the VS Code Claude Code extension (primary interface) with a persistent claude --resume terminal session — working around slash command limitations in VS Code while maintaining session continuity. Includes integration with Amazon Bedrock for enterprise deployment.

MCP Server Integration for Business Intelligence

Implemented MCP (Model Context Protocol) server integrations in a business intelligence context, using MCP-Realtime and MCP-Document (RAG) servers to analyze a technology product portfolio. Work included bundle strategy analysis, regional sales performance tracking, and promotional effectiveness evaluation.

Technology

Claude Code, Cursor AI, Amazon Bedrock, MCP Protocol, VS Code Extensions, AWS IAM/SSO, Python, JavaScript/Java.

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