MacroActive · 2025–now
Bringing AI engineering to MacroActive
Context
MacroActive is a platform for online fitness creators with hundreds of thousands of clients worldwide. A few dozen engineers who were skeptical about AI. A growing backlog and the same budget.
Role
Engineering Lead since July 2025. I'm moving engineering to AI and own technical leadership and architecture oversight.
What I did
- Set up processes and architecture practices: Domain-Driven Design, a shared domain language, ADRs (Architecture Decision Records), trunk-based development instead of a PR-based workflow, SOPs for the main processes.
- Set up quality gates in every main product: CI and automated AI code review. AI-enabled development requires them.
- Built a living AI context for the key projects: architecture, rules, constraints, tools. The team updates it as it works.
- Ran R&D sprints and workshops to show the team what AI can do. Gave everyone agents and connected the tools they need.
- Described the feature development cycle and automated most of it with agents and AI skills: specs, development, QA of the main business scenarios. The team uses the shared skill library every day.
- One-to-ones with each person: we look for their growth areas and the tasks where AI helps them most.
Result
In two quarters, AI-enabled development spread from two engineers to the whole team. Engineers write code semi-automatically with shared skills and focus on architecture decisions and review. QA automates its own routine work, and product managers write specs with AI.
- In two quarters, AI-enabled development spread from two engineers to the whole team
- Engineers write code semi-automatically with shared skills and focus on architecture and review
- QA automates its own routine work
- Product managers write specs with AI









