AI makes individuals faster. I make teams reliable.
From AI Adoption to Team Reliability
Make your team faster with AI while keeping output consistent, reliable, and scalable. Measurable results in 12 weeks.
Is AI making your team faster, but harder to trust?
These are the signals I hear from engineering leaders every week:
- “AI adoption feels messy or inconsistent across developers”
- “Code reviews are getting heavier, not lighter”
- “Output varies significantly across the team”
- “Speed is increasing but trust is decreasing”
- “Senior engineers are becoming bottlenecks again”
This is not a tool problem. It is a team system problem.That is the problem I fix.
TheSystem
The discipline I use to ship production LLM apps in half the time, installed in your team as a shared way of working
Agent-First TDD
Stop fighting broken tests. Write tests first to guide agents toward exactly what you need, then refactor with confidence knowing nothing broke.
I'll show you how to write failing tests that steer the agent, not fight it. You'll learn my workflow: test-first prompting, incremental feature builds, and refactoring agent output safely. This isn't theory. It's the exact process I use daily to ship production code.
Refactoring AI Output
Agents write code fast, but it's rarely production-ready. Learn specific techniques to clean up generated code without spending more time than manual coding.
Extract methods, simplify conditionals, remove duplication. I'll teach you the refactoring patterns that work best on AI-generated code. You'll practice transforming 80-line agent methods into 5 clean, testable functions. Fast cleanup, lasting quality.
Production-Ready Prompting
Prevent bugs before the agent writes code. Plan with ASCII wireframes, define edge cases upfront, and guide agents toward maintainable architecture.
The secret to quality AI code? Better planning. I'll teach you how to sketch designs before prompting, identify failure scenarios the agent would miss, and structure prompts that yield clean, testable code from the start. Ship faster by planning smarter.
How I Work With Your Team
Choose the engagement that fits your team's needs - from quick-win workshops to full transformations
Half-Day AI Coding Workshop
See what 'good' looks like in just 3 hours
- 60-min live demo in your tech stack
- 90-min hands-on ensemble in YOUR codebase
- 30-min retro with quick-win recommendations
- Immediate behavior changes, no fluff
12-Week Team Transformation
Ship features in a fraction of the time, permanently
- 4 weeks intensive (8 hrs/week hands-on coaching)
- 8 weeks reinforcement (4 hrs/week)
- Custom team playbook for YOUR practices
- Permanent culture shift, not training theater
From Traditional Coaching to Agent-Powered Development
I've coached 50+ developers on TDD and refactoring. Here's what they achieved when I taught them traditional XP practices. Now I'm applying the same discipline to coding agents.
Myles Woerner
Technical Director
Steven's structured coaching transformed how our team approached software development. His Learning Hours created a shared vocabulary and improved collaboration between consultants and client engineers, leading to stronger TDD adoption and a culture of continuous improvement.
I was coaching teams long before coding agents existed
For years I have helped engineering teams enjoy their work and ship high quality software using XP practices: TDD, refactoring, and ensemble programming. Today I apply that same discipline with coding agents in my own production work. Features that took 3-4 weeks now ship in 1-2.
Read the full story →Questions before you book
Straight answers to what teams ask before starting an engagement.
How much does it cost?
Pricing is value-based, not a fixed menu. What you pay depends on your team size, domain complexity, and the specific problems you want to solve. We scope it together on a discovery call, and you get a clear proposal before committing to anything.
How much time does it take from my team?
The half-day workshop is about 3 hours. The 12-week transformation is 8 hours/week for the first 4 weeks (intensive), then 4 hours/week for 8 weeks (reinforcement). It is hands-on work in your codebase, not lectures.
Do you work remote or onsite?
Both. Coaching works well remotely through pairing and ensemble sessions, and onsite is available for workshops and kickoffs when being in the room helps.
How do you measure success?
We agree on outcomes up front: cycle time, deployment frequency, test coverage and maturity, defect rate. We measure them against a baseline taken in week one, so the impact is visible rather than anecdotal.
What happens after week 12?
You keep the playbook, the practices, and a team that self-corrects. The goal is a permanent culture shift, not a dependency on me. Optional follow-up check-ins are available if you want them.
What if my team is skeptical of AI agents?
That is the normal starting point. I was skeptical too. The workshop is built to convert skeptics by showing real, production-quality results in their own codebase, not slideware.
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