If AI can help your developers reduce time to delivery, delaying adoption is a competitive risk.
This hands-on workshop shows your development team how to use modern AI coding tools to accelerate output without compromising quality or control.
We focus on how to move faster, deliver results sooner, and use AI responsibly so it becomes a trusted part of your development workflow.
Our AI for Developers Workshop is a two-hour, in-person, hands-on session for in-house software teams who want to use AI coding tools safely and at production standard.
The session focuses on real development workflows, using tools like Cursor to show how AI can accelerate delivery, improve code quality, and reduce rework without introducing unnecessary risk.
Developers learn how to manage model context, use agentic approaches appropriately, and structure projects, so AI assistance remains predictable, auditable, and aligned with team standards. We also cover where AI tools fall short and how to keep humans firmly in the loop.
The workshop is designed for developers, senior engineers, tech leads, and engineering managers, including teams with mixed experience levels who want to roll out AI across their development workflow, without sacrificing code quality or maintainability.
We start by discussing how Cursor actually works day to day. This includes core controls, common commands, and how Cursor interacts with your codebase.
We focus on using it as a development tool, not a novelty, and understanding where it fits naturally into real engineering workflows.
This section covers how to work effectively with large language models so you get consistent, useful output. We explain how models ‘see’ your code, how to manage context properly, and how to align AI output with your project’s structure and standards.
We show you how to get better suggestions, fewer surprises, and how to spend less time fixing AI-generated mistakes.
We address the practical risks that come with AI-assisted coding, including incorrect changes, loss of context, and over-reliance on suggestions.
You’ll learn when AI tools are appropriate, when they’re not, and what responsibility still sits with the developer. We also cover safe patterns for isolating changes and reviewing AI output before it reaches production.
This section introduces the Model Context Protocol and why it matters for more advanced AI-assisted development. We explain what MCP is used for, how it helps incorporate documentation and external systems, and where it adds real value.
You’ll also see examples of common MCP clients and servers, along with guidance on risks and limitations.
We finish by exploring asynchronous coding agents and how they differ from real-time AI assistance.
You’ll learn when these agents make sense, what kinds of tasks they are best suited for, and how teams are using them to handle repetitive or time-consuming work without blocking developers.
We deliver AI for Developers training based on our own hands-on experience building and deploying production AI systems.
Our team brings deep foundations in computer science, mathematics, and AI research, shaped by work across 40+ organisations in Australia.
Hear from the teams who work with us:
“Working with AI Advancements has been a fantastic experience. They show genuine interest in what you’re trying to achieve and are quick to respond to any issues/questions raised. Their expertise and solutions-focused approach were greatly appreciated throughout the process.”
“Excellent explanations and demonstrations. The potential exhibited by Samuel is outstanding. Education is to be transformed through the agency of AI in the hands of creative problem solvers.”
“Sam and Sean are super talented developers! Been a pleasure having them as part of our team to take our product to the next level”
If you’re considering AI training for your development team, this is the next step.
Share a few details about your team and environment, and we’ll discuss how the session should be structured to suit your workflows, tooling, and risk profile.
This workshop helps teams move beyond trial-and-error and start using AI coding tools with confidence, consistency, and clear boundaries. It’s designed for teams who want faster delivery and better code, without introducing avoidable risk.
Speak with our team to discuss your development environment, team structure, and whether this workshop is the right fit, or how it can be tailored to your codebase and tooling.
