AI for Engineering Teams: Practical Tools & Workflows for Modern Development
AI for Engineering Teams: Practical Tools & Workflows for Modern Development
A Hands-On Workshop to Unlock your productivity with AI.
Built for Engineers,
Built for Engineers,
by Engineers
by Engineers
AI is already in your IDE, your docs, and your sprints — but most engineers are still figuring it out on the fly.
This hands-on workshop gives you a clear playbook: 15–20 practical exercises plus a mini hackathon to apply AI to real workflows like PRs, docs, tickets, and roadmaps.
You’ll leave with tools, frameworks, and muscle memory — not just theory.
Meet Your Instructors
Elliott Fouts, CTO
Elliott has spent over 25 years leading engineering teams and scaling complex systems.. Today, he focuses on how AI can be used pragmatically by real-world dev teams. He brings a unique blend of technical depth, system thinking, and real-world examples of where AI shines (and where it doesn't).
Elliott Fouts, CTO
Elliott has spent over 25 years leading engineering teams and scaling complex systems.. Today, he focuses on how AI can be used pragmatically by real-world dev teams. He brings a unique blend of technical depth, system thinking, and real-world examples of where AI shines (and where it doesn't).
Elliott Fouts, CTO
Elliott has spent over 25 years leading engineering teams and scaling complex systems.. Today, he focuses on how AI can be used pragmatically by real-world dev teams. He brings a unique blend of technical depth, system thinking, and real-world examples of where AI shines (and where it doesn't).
Elliott Fouts, CTO
Elliott has spent over 25 years leading engineering teams and scaling complex systems.. Today, he focuses on how AI can be used pragmatically by real-world dev teams. He brings a unique blend of technical depth, system thinking, and real-world examples of where AI shines (and where it doesn't).
A.D. Slaton, Technology Leader
A.D. is a technology leader and change agent committed to pushing the boundaries of what’s possible with Agentic AI. With over 16 years of experience in software architecture, he’s shaped industry-leading news and sports platforms that serve millions daily. A.D. has led teams in integrating scalable, high-performing systems, transforming how digital products are designed, delivered, and consumed.
A.D. Slaton, Technology Leader
A.D. is a technology leader and change agent committed to pushing the boundaries of what’s possible with Agentic AI. With over 16 years of experience in software architecture, he’s shaped industry-leading news and sports platforms that serve millions daily. A.D. has led teams in integrating scalable, high-performing systems, transforming how digital products are designed, delivered, and consumed.
A.D. Slaton, Technology Leader
A.D. is a technology leader and change agent committed to pushing the boundaries of what’s possible with Agentic AI. With over 16 years of experience in software architecture, he’s shaped industry-leading news and sports platforms that serve millions daily. A.D. has led teams in integrating scalable, high-performing systems, transforming how digital products are designed, delivered, and consumed.
A.D. Slaton, Technology Leader
A.D. is a technology leader and change agent committed to pushing the boundaries of what’s possible with Agentic AI. With over 16 years of experience in software architecture, he’s shaped industry-leading news and sports platforms that serve millions daily. A.D. has led teams in integrating scalable, high-performing systems, transforming how digital products are designed, delivered, and consumed.
What You’ll Learn
Foundations
What is AI capable of in your workflow? Cut through the hype and see where AI adds real value.
What are agents? Understand how multi-step automation can streamline engineering — from doc generation to ticket workflows.
How do you keep AI on the rails? Use constraints, structured prompts, and smart task boundaries to stay in control.
Foundations
What is AI capable of in your workflow? Cut through the hype and see where AI adds real value.
What are agents? Understand how multi-step automation can streamline engineering — from doc generation to ticket workflows.
How do you keep AI on the rails? Use constraints, structured prompts, and smart task boundaries to stay in control.
Foundations
What is AI capable of in your workflow? Cut through the hype and see where AI adds real value.
What are agents? Understand how multi-step automation can streamline engineering — from doc generation to ticket workflows.
How do you keep AI on the rails? Use constraints, structured prompts, and smart task boundaries to stay in control.
Foundations
What is AI capable of in your workflow? Cut through the hype and see where AI adds real value.
What are agents? Understand how multi-step automation can streamline engineering — from doc generation to ticket workflows.
How do you keep AI on the rails? Use constraints, structured prompts, and smart task boundaries to stay in control.
Easy Wins for Fast Adoption
PR reviews: Spot issues, clarify code, and speed up feedback
Docs: Turn code, tickets, and specs into clear documentation
Ticketing: Convert ideas into structured, dev-ready tasks
Release notes: Summarize commits and changes instantly
Test writing: Generate unit and integration test scaffolds
Upskilling: Learn faster with AI as your coding pair
Easy Wins for Fast Adoption
PR reviews: Spot issues, clarify code, and speed up feedback
Docs: Turn code, tickets, and specs into clear documentation
Ticketing: Convert ideas into structured, dev-ready tasks
Release notes: Summarize commits and changes instantly
Test writing: Generate unit and integration test scaffolds
Upskilling: Learn faster with AI as your coding pair
Easy Wins for Fast Adoption
PR reviews: Spot issues, clarify code, and speed up feedback
Docs: Turn code, tickets, and specs into clear documentation
Ticketing: Convert ideas into structured, dev-ready tasks
Release notes: Summarize commits and changes instantly
Test writing: Generate unit and integration test scaffolds
Upskilling: Learn faster with AI as your coding pair
Easy Wins for Fast Adoption
PR reviews: Spot issues, clarify code, and speed up feedback
Docs: Turn code, tickets, and specs into clear documentation
Ticketing: Convert ideas into structured, dev-ready tasks
Release notes: Summarize commits and changes instantly
Test writing: Generate unit and integration test scaffolds
Upskilling: Learn faster with AI as your coding pair
From Idea to Roadmap
You’ll walk through how to go from an executive idea to a technical execution plan:
Clarify the Use Case
Evaluate Feasibility with AI
Build a Lightweight Execution Plan
Assign Roles and Define Success
From Idea to Roadmap
You’ll walk through how to go from an executive idea to a technical execution plan:
Clarify the Use Case
Evaluate Feasibility with AI
Build a Lightweight Execution Plan
Assign Roles and Define Success
From Idea to Roadmap
You’ll walk through how to go from an executive idea to a technical execution plan:
Clarify the Use Case
Evaluate Feasibility with AI
Build a Lightweight Execution Plan
Assign Roles and Define Success
From Idea to Roadmap
You’ll walk through how to go from an executive idea to a technical execution plan:
Clarify the Use Case
Evaluate Feasibility with AI
Build a Lightweight Execution Plan
Assign Roles and Define Success
AI as a Coding Partner
Prompting without specs: See what AI builds from minimal input
Working with specs: Feed it structure for better results
AI for code reviews: Add a second (robotic) set of eyes
Decomposing work: Break features into tasks AI can assist with
Multi-step docs: Use agents for longform, structured outputt
AI as a Coding Partner
Prompting without specs: See what AI builds from minimal input
Working with specs: Feed it structure for better results
AI for code reviews: Add a second (robotic) set of eyes
Decomposing work: Break features into tasks AI can assist with
Multi-step docs: Use agents for longform, structured outputt
AI as a Coding Partner
Prompting without specs: See what AI builds from minimal input
Working with specs: Feed it structure for better results
AI for code reviews: Add a second (robotic) set of eyes
Decomposing work: Break features into tasks AI can assist with
Multi-step docs: Use agents for longform, structured outputt
AI as a Coding Partner
Prompting without specs: See what AI builds from minimal input
Working with specs: Feed it structure for better results
AI for code reviews: Add a second (robotic) set of eyes
Decomposing work: Break features into tasks AI can assist with
Multi-step docs: Use agents for longform, structured outputt
Outcomes & Takeaways
Outcomes & Takeaways
Outcomes & Takeaways
By the end of this workshop, you will be able to:
By the end of this workshop, you will be able to:
By the end of this workshop, you will be able to:
Know exactly how and where to integrate AI
Know exactly how and where to integrate AI
Know exactly how and where to integrate AI
Apply AI to real development workflows
Apply AI to real development workflows
Apply AI to real development workflows
Create prompts, standards, and review practices that scale
Create prompts, standards, and review practices that scale
Create prompts, standards, and review practices that scale
Leave with a plug-and-play AI toolkit for everyday tasks
Leave with a plug-and-play AI toolkit for everyday tasks
Leave with a plug-and-play AI toolkit for everyday tasks
Available Dates – Reserve Your Spot
Remote or In Person (Norcross, GA – Atlanta)
Remote or In Person (Norcross, GA – Atlanta)
Remote or In Person (Norcross, GA – Atlanta)