Developer Builds 6 Claude AI Agents to Manage 15 Side Projects
A developer has implemented a system using six specialized Claude AI agents to manage 15 side projects while maintaining a full-time engineering job. The setup operates without a custom platform, relying on Claude Code, markdown files, and git worktrees.
Agent Roles and Responsibilities
- Maya (Chief of Staff): Handles daily reviews, inbox triage, and task routing.
- Viktor (CTO): Manages code review, pull requests, and architecture decisions.
- Luna (Content): Creates blog posts and social media content.
- Marco (Strategy): Conducts business analysis and hypothesis validation.
- Sage (Coach): Focuses on life balance and personal development.
- Kai (Community): Handles CRM, networking, and follow-ups.
The developer acts as "Commander," responsible for strategic decisions, being the public face, building relationships, and validating ideas while delegating other tasks to the agents.
Technical Implementation
The system runs on Claude Code with markdown files and git worktrees. No custom platform was developed for this setup. The developer has shared a 7-minute walkthrough presented from an Apple Vision Pro, available on YouTube.
This approach demonstrates how AI agents can be organized into specialized roles to handle complex project management tasks, particularly useful for developers managing multiple projects alongside primary employment.
📖 Read the full source: r/ClaudeAI
👀 See Also
Local vs VPS OpenClaw deployment: practical differences for AI coding agents
Running OpenClaw locally provides real browser access with existing login sessions and local file access, while VPS deployment limits functionality to basic tasks and faces website restrictions.
Financial Modeler Builds Local Speech-to-Tool Desktop App with Claude Code
A developer with a financial modeling background used Claude Code to create Sotto, a local Windows speech-to-text application that runs Whisper on GPU. The app features system-wide hotkeys, automatic stop detection, and a Qt UI, with about 2,200 lines of Python across 17 files.
Localizing Large Codebases with LLMs: A Developer's Workflow for 4,500 UI Keys
A developer shares their workflow for localizing a game with 4,500 UI keys using LLMs. They found that adding context to translation prompts and using local models like Qwen 3 8B produced acceptable quality, while cloud models like Claude and Gemini Pro struggled with file size and accuracy.
Claude Projects vs Claude Code: Read/Write Gap Frustrates Second Brain Users
A user maintaining a markdown-based 'second brain' details friction between Claude Chat's voice-friendly Projects and Claude Code's file editing capabilities, proposing MCP as a workaround.