The standard for
AI‑native
engineering.
Doctrine, system, certification, and hands-on transformation for the engineering leaders rebuilding their organizations around AI. Built by operators who’ve done it.
Three paths in.
Engineers, EMs, technical leads
Eng leadership rolling out AI-native practice
CTOs, VPs at 100+ engineer orgs
An operating system upgrade to the entire SDLC.
A productized monthly cadence we install inside your engineering org, led by an embedded fractional AI engineering leader.
Executive Alignment
Roadmap review with eng leadership. Priority calls. KPI tracking. What's getting cut, what's accelerating.
Workflow Activation
Hands-on work with one team or workflow — code review, test generation, agent-assisted feature work, incident response.
Implementation Sprint
We build alongside your engineers. Real production code, real tooling, real evaluation infrastructure.
Training & Reporting
Team training. Impact report to leadership. Next month pre-loaded.
A credential tied to practice,
not theory.
The AI-Native Engineering Practitioner is a 40-question, timed assessment covering AI-assisted development, evaluation infrastructure, agent design, and the judgment calls that separate engineers who ship with AI from engineers who get shipped over by it.
Four shapes. One bench.
Every engagement is staffed by a senior operator — no junior consultants, no offshoring, no markup on subcontractors.
For eng leaders who need an outside operator to pressure-test strategy and roadmap. Monthly executive cadence, roadmap review, doctrine application.
Inquire →For teams ready to ship transformation. Advisory + workflow implementation in one or two priority areas. Embedded operating cadence at handoff.
Book a strategy call →For mid-market and enterprise orgs running multi-team rollouts. Embedded + multi-team activation, accelerated initiative velocity.
Speak to a principal →For companies treating this as a strategic priority. Company-wide rollout with embedded presence and capability transfer to in-house.
Speak to a principal →
“AI is the most consequential leverage point in software since the compiler. The companies that win the next decade will be the ones that redesigned engineering around it, not the ones that installed a chat window on top.”
Independent thinking on AI-native practice.
Two-day intensive for engineering leadership teams.
One essay a month. No marketing.
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