AI Engineering Workshop Building the AI-Native Repo

What it is

The AI Engineering Workshop teaches teams to engineer the agent harness, not just use the tool.

Your team starts in an ordinary repo with no AI guidance and adds one layer of the harness each day: context, capability, sensors, then composed workflows. Every block moves from a short lesson to a hands-on lab to a group discussion.

We teach on Claude Code. Every technique carries over to Cursor, Copilot, Codex, and Antigravity.

Everything your team builds this week is portable. They take the patterns, the judgment, and the harness itself back to their own repos on Monday.

The 411

What to expect, and what your team walks away with.

Remote, in a hosted environment we provide
On-camera required
2 instructors

Up to 30 participants
Level 101 to 201
Five days / 20 hours

What you get

Diagnose an agent failure by mechanism (context rot, poisoning, bloat) instead of guessing or blaming the model
Engineer a repository so agents produce reviewable, high-quality work by default
Compose AGENTS.md, rules, skills, MCP, subagents, and hooks into workflows that behave the same for every engineer
Verify deliberately, with guides that raise first-attempt quality and sensors that catch what slips
Run spec-driven development end to end with real reps, not a demo
Measure honestly: cost per task, review burden, and rework, instead of celebrating volume
Leave with a team harness packaged as one governed, versioned configuration

How it works

Five days, one layer of the harness at a time

Teach, hands-on lab, group discussion, every block. Remote, in a hosted environment we provide.

Day 1: The model layer

How LLMs work and how they fail.

Prompt craft and context basics. Structured prompts and a first AGENTS.md. Compare results against a cold first run in a repo with no AI guidance.

Day 2: Base context

Give the agent something to go on.

Path-scoped rules and task runners. A verify script the agent runs. Context lifecycle and handoff briefs. Re-run the same task with the new context in place.

Day 3: Capability and blast radius

Power, scoped on purpose.

Skills that encode a real team convention. MCP servers versus cheaper primitives. Subagents scoped with least privilege. What belongs in a shared harness, a personal setup, or neither.

Day 4: Sensors and workflows

Catch what slips.

Hooks that block failures you hit earlier. Independent review with a reviewer agent. Spec-driven development: research, plan, implement, verify.

Day 5: Capstone

Real issues, real reps.

Real issues run through spec-driven development, in the repo you spent the week fixing. Rep, retro, rep, each costed bare prompt versus the spec-driven loop. Package the team harness as one governed, versioned configuration.

Who it's for

Built for application teams ready to make agents dependable. Ideal for application engineering teams with some AI tool exposure, ready to make agents a dependable part of how they ship.

Software engineers and tech leads already using or trying AI coding tools
Teams whose AI demos work but whose repos do not
Groups that need a shared harness, not five personal setups
Organizations that want a short, browser-only workshop before a deeper enablement engagement

Prerequisites: A browser with internet access. We provide the hosted environment and AI tooling, so there is nothing to install and no licenses to chase. Hands-on time with any AI coding tool helps.

Get started

Let's talk about your team

Tell us your team size, current AI tools, and what a 5-day cohort could look like.

What we'll cover:

Your team size and current AI tools
Scheduling a remote workshop
What participation requires, including on-camera attendance
Your questions, with no obligation to move forward

After the workshop, many teams move into Forge for deeper, backlog-based enablement.

This is just one of the many great courses in our cloud-native curriculum!

Reach out to schedule the best workshop your team has ever attended.

Schedule a workshop

Why it works

The SuperOrbital difference

We're experts with a reputation for delivering great work. Here’s how we're different:

Intensely hands-on

More walking, less talking.

Our students spend more than 50% of their time in hands-on labs. We don’t believe in static, podium-based training with some boring instructor talking at you.

Instead, we immerse you in an active learning environment where you can internalize the lessons through collaboration and hands-on labs. This is the path to knowledge that sticks, and a foundation for true expertise.

Collaborative and fun

This is not a webinar.

People learn best when they're engaged and having fun. We strongly encourage interruptions, stupid questions, and side-quests.

This is also why we cap off each day with an open Q&A session. This is where we really get to dig into each team's unique challenges, often through live-coding sessions.

Thorough

No stone unturned.

Our content goes deep, giving you a foundational understanding of how things work under the hood. We tease apart every topic, breaking it down into its atomic parts. Then we rearrange them into an order our students can easily digest and remember.

Unbiased

No vendor pitches.

We believe in cloud native solutions, but we aren't beholden to any vendor. Every situation is unique, and every tool has flaws. We help you understand how the technologies work together to solve your problems. We guide you away from the tools that are hype, and toward those that have proven their worth.

Battle hardened

We bring real experience.

We don't just teach: we do. We've wrestled with Kubernetes, Terraform, Istio, Docker and all of the others in real production situations. We've used them in anger. We know where the tools fall down and what the documentation hides.

Remote first

Our training shows it.

The days of hours wasted commuting to work are coming to an end, and good riddance. SuperOrbital has always been a passionately remote-first company, and we bring that to our training. Why travel out of town to sit in a hot, crowded, uncomfortable room for days at a time? Our workshops are taken from the comfort of your own home, and at a schedule that encourages deep learning.

Need more convincing?

Talk to an engineer