Smarter IBM i Development: AI Agents & Distributed SQL:
From finding data across systems with SQL three-part naming to agent-first coding workflows
Modern IBM i teams are being asked to move faster, work across more systems, and still keep quality and accountability in the loop.
Join LISUG for a two-speaker November meeting focused on smarter development practices: first with a deep dive into distributed data access using SQL three-part naming, then with a practical look at six months of agent-first coding.
Pre-Session: Finding Data in the Forest: Exploring Three-Part Naming in SQL
The pre-session explores distributed data access. Gregory Simmons will show how SQL three-part naming can simplify working across IBM i environments by allowing developers to reference remote objects with RelationalDatabase.Schema.Object syntax. Attendees will learn how to configure remote database access, run distributed SQL queries, stage remote data locally, and think about reusable approaches for querying multiple systems across the network.
Main Session: 10x Development with AI Agents: Lessons from Six Months of Agent-First Coding
The main session explores what happens when a software developer stops writing every line by hand and starts building with AI coding agents instead. Ashish Thomas will share lessons from Codex-style workflows mapped to IBM Bob and broader enterprise coding-assistant patterns, including how agents can help explore unfamiliar technology stacks, generate code, write tests, debug issues, and move from idea to implementation faster.
This session is for IBM i developers, technical leaders, and system teams who want practical ways to build faster, automate responsibly, and work with data spread across multiple systems.
