Presentations on AI and IBM i — from understanding how large language models work, to building the agentic infrastructure that connects IBM i to the AI ecosystem.
I'm Adam Shedivy, a software engineer at IBM working at the intersection of AI and IBM i. These talks trace a journey: starting with deep technical foundations, moving into practical AI tooling for IBM i developers, and arriving at building AI agents and the open-source MCP server that makes IBM i a first-class citizen in the agentic AI world.
The fundamentals. How AI works under the hood, the open-source ecosystem, and the technology stack from the ground up.
- Building LLMs from Scratch — How large language models actually work: architecture, training, and inference
- AI End to End — The full AI landscape from soup to nuts
- Open Source AI on IBM i — Open-source code assistants, AI stacks, and the ecosystem
- Open Source on IBM i — WildFly, Service Commander, and open-source tooling on the platform
Bringing AI into the IBM i developer's workflow. Tools, programming, data analysis, and the modern developer experience.
- AI Tools for IBM i — WCA4i, Db2 tooling, and the AI tool landscape
- IBM i Programming with AI — AI-assisted development for RPG, COBOL, CL, and SQL
- IBM i Data Analysis with AI — Unlocking insights from Db2 for i data with AI
- VS Code & Developer Tools — The modern IBM i developer experience
Not just talking about AI — building the infrastructure. AI agents that take actions, make decisions, and interact with IBM i systems natively.
- Agentic AI and IBM i — The vision for autonomous AI on IBM i
- Building AI Agents for IBM i — Hands-on guide to building agents that work with IBM i
- MCP Server for IBM i — The open-source infrastructure connecting IBM i to the AI ecosystem
- WildFly on IBM i (PDF)
- Service Commander (PDF)
- LUG VSCode with Scott v2 (PDF)
- Today's Open Source Code Assistants (PDF)
- AI Stacks (PDF)
- VSCode - Db2 and AI (PDF)
- AI Tools for IBM i (PDF)
- AI Tools for IBM i (PDF)
- AI Tools for Db2 for i (PDF)
- How to Build an LLM from Scratch (PDF)
- Leveraging AI with IBM i (PDF)
- Agentic AI Demos
- Agentic AI and IBM i
- Agentic AI and MCP Server Update
- MCP Server for IBM i
- How to Build an Agent for IBM i
- MCP Server for IBM i (PDF)
- How to Build an Agent for IBM i (PDF)