PLAYBOOK
How I build
A practical workflow for shipping high-quality products without building a fragile mess.
Principles
Ship small, daily
Momentum beats motivation. I aim for changes that can land in production fast, then iterate.
Design for scale early
Not “premature optimization” — just sane boundaries, caching where it matters, and observability from day one.
Types are leverage
Type safety is a multiplier. It reduces fear, speeds up refactors, and keeps teams moving.
Measure, don’t guess
Performance, conversion, reliability — if it matters, I instrument it. Opinions come after data.
No mystery meat code
Readable code, consistent patterns, explicit naming. If future me can’t understand it fast, it’s wrong.
Process
01 — Discovery
- Clarify the goal (what changes after this ships?)
- Map users and critical flows
- Define success metrics (speed, conversions, reliability, retention)
- Audit existing stack and constraints
02 — System design
- Pick the simplest architecture that won’t collapse at scale
- Define data model and access patterns
- Plan auth, roles, and security boundaries
- Create an integration plan (payments, email, analytics, etc.)
03 — Build + iterate
- Build the core flow end-to-end first
- Instrument logs + analytics early
- Ship weekly improvements based on feedback
- Stabilize performance and failure modes
04 — Launch + harden
- CI/CD, monitoring, error tracking
- Load testing and bottleneck fixes
- Backups + recovery plan
- Docs so the system stays maintainable
Tools I reach for
Frontend
Next.js, TypeScript, Motion/GSAP, Tailwind, ShadCN
Backend
Go + Rust services, PostgreSQL, Redis, queues, Docker
Quality
Observability, testing where it matters, tight feedback loops
Clean systems. Clear UI. Reliable execution.