Turn Your Engineering Team Into One That Ships Fast Without Sacrificing Quality
A 12-week hands-on engagement where I coach your team directly in your production codebase: TDD, refactoring, and ensemble programming, applied to real work with AI coding agents, until the practices are yours, not mine.
What's Included
- Codebase audit in week 1 with prioritized recommendations
- 4 weeks intensive coaching: daily ensemble sessions and learning hours in your code
- 8 weeks reinforcement: weekly sessions as the team takes over
- A living team playbook documenting your practices, updated through the engagement
- Monthly summaries covering behavioral changes and velocity/quality trends
- Bi-weekly office hours during reinforcement for unblocking questions
Who This Is For
- Teams stuck in bad patterns: rushed code, mounting technical debt, fear of changing anything
- Leadership committed to a real culture shift, not a quick fix or a one-off training
- Teams where AI coding tools are creating more rework than they save
- Companies where feature velocity is the bottleneck to business growth
Why This Works
I apply these same practices to my own production work daily. Features that used to take me 3-4 weeks manually now ship in 1-2 weeks with coding agents, because TDD, continuous refactoring, and small batches keep the agent's output under control instead of letting it accumulate as debt.
A team I coached through these fundamentals: refactoring, TDD, ensemble programming, went from constant rework and daily struggles to just two production defects in an entire year. That's the outcome a 12-week engagement is built to produce: not a training event, a permanent change in how the team works.
“The Learning Hours improved our team's confidence and collaboration, making refactoring and strong design discussions a daily habit. The results? Increased deployment frequency, better test maturity, and a self-correcting team that now drives its own improvement.”
Common Questions
What time commitment does this require from the team?
It averages 6 hours a week over 12 weeks: 8 hours a week during the intensive first 4 weeks, dropping to 4 hours a week for the remaining 8 as the team takes over. All sessions happen on real production code, not separate training time.
Is this remote or on-site?
Remote by default. I run ensemble sessions and learning hours over video, pairing on your codebase in real time. I'm based in Raleigh, NC and can do an on-site kickoff if that helps set the tone for a longer engagement.
How do you measure whether it worked?
I track feature delivery time and defect rate before and after, and deliver a codebase audit in week 1, a living team playbook that updates through the engagement, and monthly summaries of what's changing. In my own production work, this approach took features from 3-4 weeks down to 1-2 weeks: that's the kind of shift I'm looking for in your metrics too.
Who is this for?
Teams stuck in a pattern (mounting technical debt, fear of refactoring, AI tools creating more rework instead of less) where leadership is committed to changing how the team works, not just running a one-off training. Teams that already did the half-day workshop and want to go deeper are a natural fit, but it's not a prerequisite.
What happens after the 12 weeks?
By week 12 the team should be running the practices, TDD, refactoring, ensemble programming, on their own, with me stepping back to an advisory role. Some teams pick up an ongoing retainer for reinforcement as new people join or new challenges come up; most don't need to.
We've tried transformation programs before and they didn't stick.
Most don't, because they're delivered as separate training on toy examples instead of your actual code. Every session here happens in your production codebase, on real features, with daily retros that adjust the plan to what's actually working for your team. If it doesn't stick, it's because I didn't customize it enough for how your team actually operates.
Not ready for a 12-week commitment? Start with the half-day AI coding workshop to see how your team responds first.