How I Build:
The AI-Native Workflow

14 apps. 3 months. 1 developer. Here's the system behind it.

The 45-Minute Rule

I tracked every AI coding session for 3 months. One pattern emerged above all others.

230+ AI sessions tracked
94% Success rate at 45 min
80% Success rate at 90 min
The key insight: context window degradation, not human fatigue, is the limiting factor. After 45 minutes, the AI starts losing track of earlier decisions. Errors compound. The fix is counterintuitive: shorter sessions with structured handoffs produce more output than marathon coding sessions.

The Session Structure

Every session follows the same 42-minute structure. No exceptions.

Pre-flight Checklist (2 min)

Credentials loaded. Correct project directory confirmed. Last build verified passing. Context save from the previous session loaded. No ambiguity about what we're building.

Build Phase (35 min)

The AI agent reads the project context, generates code, and iterates. I review every output, catch drift early, and course-correct before errors compound. One feature per session. No scope creep.

Session Retro (5 min)

What worked. What failed. What patterns to extract. This isn't ceremony — it's how the system learns. Every correction becomes a permanent rule for future sessions.

Context Save

A structured handoff file capturing every decision, blocker, and next step. The next session picks up exactly where this one left off. Zero ramp-up time.

The Memory System

AI has no memory between sessions. So I built one.

📁

PARA Organization

Every project, area of responsibility, reference material, and archived work has a home. The AI always knows where it is and what it's working on. Projects / Areas / Resources / Archive.

💾

Context Saves

230+ structured files capturing every decision made across 3 months. Each save records what was done, what's pending, what failed, and what to do next. The AI reads these at session start.

📚

Memory File

200+ rules accumulated from corrections. Every time the AI makes a mistake, the correction becomes a permanent rule. The same mistake never happens twice.

🛠

Custom Skills

45 reusable workflows for common tasks — App Store submissions, ASO optimization, build pipelines, deployment scripts. Encode process knowledge, not just code.

The Stack

Deliberately simple. Every tool earns its place.

🤖

Claude Code

Primary development tool. AI agent with filesystem access, git, and shell.

📱

SwiftUI + StoreKit 2

All 14 apps. Native UI, declarative layout, modern in-app purchases.

📦

AppFoundation

Shared Swift package across all apps. RevenueCat + Sentry + TelemetryDeck.

💰

RevenueCat

Monetization infrastructure. Paywalls, subscriptions, analytics.

🐛

Sentry

Crash reporting and error tracking across all 14 apps.

📈

TelemetryDeck

Privacy-first analytics. No personal data, GDPR-compliant by design.

🔧

XcodeGen

Project generation from YAML. No merge conflicts on .xcodeproj.

🌐

39-Locale ASO

App Store Optimization across 39 locales. Keywords, subtitles, descriptions.

Results

What this system produces.

14 Apps live on the App Store
77 Submission rules learned from rejections
39 Countries localized
3 Months from zero to portfolio
The portfolio approach: don't build one app and hope it works. Build the machine that builds the apps. Shared infrastructure, shared lessons, shared monetization. Every new app gets easier because the system already knows how to ship it.

Get the Full Blueprint

Session templates, memory system architecture, and the complete constraint catalog. One email when it's ready.

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