Starting RACE Programming from day one
No legacy constraints. No existing rituals. Build the RACE Programming system right — add headcount only when each configuration is provably saturated.
Why greenfield is the best starting point
Greenfield projects are where RACE Programming's 4× throughput case is strongest: no legacy constraints, no existing team rituals to unlearn, no brownfield coordination overhead. The bottleneck from day one is specification quality and Team Principal availability — not code volume.
The failure mode in greenfield AI projects is scaling prematurely — adding engineers before the Pit Wall is proven, before the Executable User Story cadence is stable, before Team Principal availability is locked. The six-stage model below prevents this.
The six scaling stages
Add headcount only when the current configuration is provably saturated. Each stage is a complete, functional delivery system — not a partial team waiting to be filled.
Start as one pair
Pit Wall pair (ACE Software Engineer + AI Product) acts as both Pit Wall and Pit Crew. They author EUS, build prototypes, and execute.
When to move on: Team Principal's required pace exceeds two-person capacity → add first AI Fluent Engineer. Pit Wall continues Pit Crew execution alongside the new engineer.
Split roles, add crew
Still insufficient → add second engineer. AI Product serves both Pit Wall and Pit Crew. ACE SWE shifts to Pit Wall only (50% allocation).
When to move on: Still not enough throughput → promote ACE SWE to ACE TL, add Pit Crew 2. Evaluate AI Product coverage per crew.
Grow to 5 Pit Crews
One Pit Wall pair in ACE Technical Lead mode can serve up to 5 Pit Crews simultaneously. Allocation: 20% per Pit Crew.
Five Pit Crews = throughput equivalent of 10 Scrum teams with a synchronized backlog. Unreachable with a classic delivery approach.
Split streams
If demand still exceeds one Pit Wall's capacity at 5 Pit Crews → split with Team Principal into 2 independent streams, each with its own Pit Wall.
Pattern repeats from Stage 1 within each stream.
Each stage adds headcount only when the previous configuration is provably saturated.
Who you need — and when
Pit Wall (Stage 1 minimum)
- ACE Software Engineer (Pit Wall lead). Architecture decisions (ADR), prototype build, Pit Wall execution oversight.
- AI Product. Gherkin acceptance scenarios, EPB management, EARS NFR, client communication.
- Both roles required. One person may cover both in early-stage engagements.
- Qualification threshold: AI Fluency at senior level. Prototype build time ≤ 2 days. EUS acceptance rate > 80% first pass within 2 months.
Pit Crew (add when Pit Wall saturated)
- AI Product (Context Manager) + 1–2 AI Fluent engineers.
- No ceremonies. No standups. Inner cycle 2×/day.
- Rule: do not add people inside a Pit Crew — add Pit Crews.
- Qualification: AI-native execution. All 4 DoD gates green before every Pit Stop Demo — non-negotiable.
The first Stint
Team Principal: what you must lock in before Stint 1
- Availability SLA in writing. Team Principal must respond to prototype review and Pit Stop Demo within 1 day. This is an engagement-level SLA, not a courtesy ask. Missing feedback blocks Pit Wall and compounds.
- Feedback calibration. "I don't like it" is not feedback. Train Team Principal to answer: Is this what I meant? What business rule is missing? What would my user say? Run this calibration in Stints 1–2.
- No direct Pit Crew contact. If Team Principal bypasses Pit Wall and tasks Pit Crew directly — intervene immediately. One occurrence: address. Second: escalate as engagement risk.
Metrics from week one
See the Framework overview for full role and artifact specifications. If your team is migrating from Scrum, the From Scrum guide covers the transition mechanics in detail.