AI-assisted development is shifting from single-model tools to multi-model and multi-agent engineering. This article explores how IBM Bob, GitHub Copilot, Gemini CLI, Claude Code, and OpenAI Codex orchestrate models—and why the orchestration layer is becoming the real platform.
My First Hands-On Experience with IBM Bob: From Planning to RAG Implementation
In this post, I share my initial experiences with IBM Bob, an AI SDLC tool. By discuss setting it up with VS Code, its configurable modes, and key features. I show some details using IBM Bob to build a RAG system, highlighting its impressive support for planning, coding, and documentation, enhancing workflow efficiency. Introduction First... Continue Reading →
The Rise of Agentic AI and Managing Expectations
This blog discusses the emergence of agentic AI, capable of planning and executing complex tasks autonomously, contrasting with traditional generative AI. The post emphasizes the importance of managing expectations, oversight, and ensuring transparency due to the unpredictability, including potential hallucinations associated with these systems. LangGraph is highlighted as a powerful tool for developing agentic workflows.
