Workshops
Practical sessions for teams that want to ship with AI, not just talk about it. Built from how I work in production every day, tailored to your stack and skill level.
Claude Code Workshop
Get your team productive with Claude Code in one afternoon.
Claude Code is my primary coding agent, and I have seen what happens when a team adopts it properly: small teams shipping at the pace of much larger ones. I built this workshop to get your team there without the months of trial and error.
The session is hands-on by design. After covering how Claude Code actually works (and where it fails), everyone builds and ships a real feature on a prepared starter project. We close with what it takes to make this stick: team guidelines, review pipelines, and CI/CD integration.
What we cover
The AI coding landscape
Where agentic coding stands today, why Claude Code, and how it works across any stack.
Security & IP
What leaves your machine, API key management, and guardrails for working with company code.
How Claude Code works
CLAUDE.md, feedback loops, skills, context management, sub-agents, and common failure patterns.
Hands-on build
Everyone ships a real feature on a prepared starter project, with guidance where needed.
Review & security scan
AI code review and a security scan of the code you just built.
Production ready
CLAUDE.md as a team artifact, hooks and policies, git workflows, MCP, CI/CD, and headless mode.
Managing AI Agent Teams
Run AI agents as production contributors, not experiments.
Once a team is productive with one AI assistant, the next step is orchestration: multiple agents working in parallel, connected to your tools and data, with humans approving at the right moments. This is where the real leverage is, and where most teams get stuck.
I run this setup in production. At Klime we build AI agents for customer-facing teams: agents with full customer context that take over the repetitive work, while your team approves everything before it reaches a customer. At Kilo Code I helped scale a coding assistant processing over 1 trillion tokens per week. The workshop distills that into patterns your team can apply the same week: clear tasks, full context, review pipelines, and guardrails.
What we cover
Multi-agent orchestration
Sub-agents, agent teams, and parallel sessions without losing the overview.
MCP ecosystem
Connecting agents to your internal tools, data sources, and services.
CI/CD & headless mode
Agents in pipelines, unattended runs, and where automation pays off.
Human-in-the-loop
Approval flows, review pipelines, and calibrating how much you trust agent output.
Agents in production
Monitoring, cost control, and the failure patterns to design around.
AI-Native Engineering Leadership
Leading an engineering team when AI writes most of the code.
When AI writes most of the code, the leadership questions change. What do you hire for? How do you review code nobody wrote by hand? Which productivity claims are real? I work on both sides of this shift: hands-on with the tools every day, and coaching CTOs and founders through the decisions.
This session is built for leaders, not laptops. We work through the frameworks I use with my own clients, grounded in live demos of what modern agentic development actually looks like.
What we cover
Strategy & ROI
What to roll out and when, build versus buy, and separating real productivity gains from hype.
Quality gates
Code review culture when AI writes the code, CI/CD policies, and security and IP boundaries.
Team workflows
Engineering guidelines as living team artifacts, knowledge sharing, and junior versus senior dynamics.
Hiring & skills
What to hire for now, and how to grow AI-native engineers inside your current team.
Rollout & adoption
Handling skeptics and overenthusiasts, and measuring adoption honestly.
Want this for your team?
Every workshop is tailored to your stack, your codebase, and your team's skill level. Book an intro call and we will figure out the right format together.