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imalexnet

v0.1.4

Published

I Am AlexNet - Autonomous product builder that orchestrates AI models through a 16-phase SDLC pipeline

Downloads

51

Readme

I Am AlexNet

License: MIT Node.js Tests PRs Welcome Follow on X

Agentic CLI that builds complete products and marketing foundation by orchestrating Claude Code and Codex.

Website: imalexnet.com

Installation

npm install -g imalexnet

That's it! Now you can run alexnet from anywhere.

Development Installation

If you want to contribute or modify the code:

# Clone the repository
git clone https://github.com/yungookim/imalexnet.git
cd imalexnet

# Install dependencies
bun install

# Build and link locally (uses alexnet-dev command)
bun run dev:link

Prerequisites

Before using I Am AlexNet, you need:

  1. Claude Code CLI

    npm install -g @anthropic-ai/claude-code
    claude auth login
  2. OpenAI Codex CLI

    npm install -g @openai/codex
    codex auth login

Note: I Am AlexNet will automatically install required skills for both Claude Code and Codex during runtime. See Automatic Skill Installation for details.

Usage

# Start a new project (interactive wizard)
alexnet

# Resume an interrupted project
alexnet --resume

# Check project status
alexnet --status

# Use medium models (balanced cost/quality)
alexnet --model-tier medium

# Use light models (fastest, most economical)
alexnet --model-tier light

# Specify tech stack
alexnet --stack "nextjs,supabase,stripe"

# Disable git integration
alexnet --no-git

Options

| Option | Description | |--------|-------------| | -r, --resume | Resume from last checkpoint | | -s, --status | Show current status and exit | | -v, --verbose | Detailed logging | | -m, --monitor | tmux dashboard mode | | --model-tier <tier> | "light", "medium", or "heavy" (default: heavy) | | --stack <stack> | Tech stack override | | --deploy <platform> | Auto-deploy (vercel, netlify) | | --no-git | Disable git integration |

The 16-Phase Pipeline

Product Development (Phases 1-8)

  1. Planning - User stories and roadmap (Codex → Claude review)
  2. Analysis - Technical requirements (Codex → Claude review)
  3. Design - Architecture and prototype (Claude → Codex review)
  4. Implementation - Full source code (Claude → Codex review)
  5. Testing - Comprehensive test suite ⚠️ Perfection required
  6. Code Review - Security audit ⚠️ Perfection required
  7. Maintenance - Documentation
  8. Steve Jobs Review 🍎 - Product excellence check

Go-To-Market (Phases 9-14)

  1. Landing Page - High-converting HTML/CSS/JS
  2. SEO Optimization - 10+ pages, meta tags, sitemap
  3. Demo Video - Remotion-based explainer
  4. ICP & Messaging - Target personas and copy
  5. Google Ads - 100 ad variations CSV
  6. CRO Review 📈 - Conversion optimization

Finalization (Phases 15-16)

  1. Final Orchestrator Review 🎯 - Quality gate
  2. Final Dashboard 🏁 - Completion summary

Output Structure

./
├── .imalexnet/          # State and logs
├── project/                  # SDLC artifacts
│   ├── planning/
│   ├── analysis/
│   ├── design/
│   ├── tests/
│   ├── reviews/
│   ├── docs/
│   └── dashboard/
├── src/                      # Generated source code
├── public/                   # Landing page + SEO pages
└── gtm/                      # GTM artifacts
    ├── seo/
    ├── video/
    ├── messaging/
    ├── ads/
    └── reviews/

Cross-Model Review

Every phase (except Testing and Code Review) uses cross-model review:

  • If Claude executes → Codex reviews
  • If Codex executes → Claude reviews
  • Maximum 5 iterations per phase
  • Testing and Code Review iterate until perfect

Model Tiers

| Tier | Coding Model | Review Model | Best For | |------|--------------|--------------|----------| | heavy (default) | Claude Opus | GPT-5.2-Codex | Production apps, complex projects | | medium | Claude Sonnet | GPT-5.1-Codex-mini | Standard projects, balanced cost | | light | Claude Haiku | GPT-5.1-Codex-mini | Quick prototypes, simple apps, budget-conscious |

Automatic Skill Installation

I Am AlexNet automatically installs and configures skills for both Claude Code and Codex during runtime. This happens transparently during project initialization.

What gets installed:

  • ~40 specialized skills for each model
  • Skills are persisted in .claude/settings.json and .codex/settings.json
  • Subsequent runs reuse installed skills (no reinstallation needed)

Why skills are needed: Skills enable the AI models to follow structured workflows for planning, testing, code review, and other phases. They ensure consistent, high-quality output across the 16-phase pipeline.

Installed skills:

| Skill | Claude Code | Codex | Reason | |-------|-------------|-------|--------| | commit-push-pr | ✓ | ✓ | Both commit code | | remove-ai-code-slop | ✓ | - | Claude writes implementation | | frontend-design | ✓ | - | Design + Landing page | | verification-before-completion | ✓ | ✓ | Quality gates | | test-driven-development | - | ✓ | Testing phase | | systematic-debugging | ✓ | ✓ | Bug fixing | | remotion-best-practices | ✓ | - | Video phase only | | page-cro, form-cro, etc. | ✓ | - | GTM phases | | programmatic-seo | ✓ | - | SEO phase | | paid-ads | ✓ | - | Ads phase |

First run note: The initial project may take slightly longer as skills are installed. This is a one-time setup per environment.

Development

# Run in development mode
bun run dev

# Type check
bun run typecheck

# Build
bun run build

# Build and link locally (creates alexnet-dev command)
bun run dev:link

License

MIT