How I Manage 400K Lines of Code with Claude Code: A Multi-Agent Development Workflow
A battle-tested workflow for using Claude Code to manage large-scale projects with parallel AI agents working like a distributed engineering team
BLOCKHEAD CONSULTING
Your team uses AI tools. I'll show them how to ship with them.
I'm a senior systems engineer who builds and ships production code with AI tools daily.
10+
Years Systems Engineering
Go + Python
Core Languages
Ships AI
Practitioner First
Where I Add Immediate Value
Your developers use AI tools but results are inconsistent
→
Structured AI workflows with persistent context and documented conventions
→
Every developer on your team produces consistent, high-quality output with AI assistance
You're spending on AI tools but can't measure ROI
→
Instrumented development workflows that capture real output (lines shipped, features delivered, time-to-merge) alongside AI tool spend
→
Concrete metrics for leadership: what was built, how fast, at what cost
AI agents lose context between sessions, causing rework
→
Persistent agent workspaces with CLAUDE.md conventions, structured planning per session, and context handoff between agents
→
Fewer tokens burned on re-explanation, less rework, faster iteration cycles
Public Artifacts
Public work that demonstrates the practice. Click through to verify directly.
claude-code-go
Author
First Go SDK for Claude Code
Guild Agent Framework
Author
Multi-agent orchestration framework for production AI workflows
Obey Agent Economy
Author
ETHDenver 2026: five autonomous agents coordinating across Hedera, 0G, and Base
Festival
Author
Organized AI workspace with auditable agent workflows for complex multi-phase planning
Services
AI/LLM Consulting
- AI Workflow Architecture for Engineering Teams
- Persistent Context for Long-Running Agents
- Instrumented Development Pipelines
- Senior Engineer Coaching for Agentic Workflows
- Embedded Engineering with Your Team
Crypto Infrastructure
- Decentralized Social Media Platforms
- Cross-Chain Systems
- Custodial Wallet Systems
- Chain Listeners/Executors
- NFT/Token Platform Development
- Performance Optimizations
- Chain Migrations
Lance Rogers
Backend engineer with 10+ years shipping production systems across fintech, security, blockchain, and developer tooling.
Currently building AI execution infrastructure: LLM orchestration, MCP, multi-agent systems, and evaluation tooling.
Known for owning ambiguous systems end-to-end, from architecture through operations.
Technical Expertise
Core Languages
Go • Python • Solidity
Blockchain
Ethereum • Polygon • DeFi • Smart Contracts
AI Engineering
OpenAI • Claude • Agent Frameworks • RAG
Core Languages
9+ years developing production systems in Go and Python, with specialized expertise in Solidity for blockchain applications.
Experience
- Go: 7+ years building microservices, APIs, and blockchain infrastructure
- Python: 9+ years in fintech, data pipelines, and automation systems
- Solidity: 4+ years developing and deploying smart contracts
Technologies & Frameworks
- Go: Gin, Gorilla Mux, gRPC, concurrent programming, memory optimization
- Python: Django, Flask, FastAPI, NumPy, Pandas, async programming
- Solidity: ERC standards, gas optimization, security patterns, upgradeable contracts
Key Achievements
- Authored claude-code-go SDK (first Go wrapper for Anthropic's Claude Code)
- Built Go microservices handling 15M+ transactions/month at Mythical Games
- Deployed audited smart contracts for gaming and marketplace applications
Blockchain
4+ years architecting blockchain systems from smart contracts to full-stack dApps, with deep expertise in multiple networks and protocols.
Experience
- Smart contract development and deployment on multiple networks
- Cross-chain bridge architecture and implementation
- DeFi protocol development and integration
- NFT marketplace and gaming platform development
Technologies & Frameworks
- Networks: Ethereum, Polygon, Hyperledger Besu, Layer 2 solutions
- Tools: Hardhat, Truffle, Web3.js, ethers.js, OpenZeppelin
- Protocols: ERC-20/721/1155, DeFi primitives, cross-chain bridges
Key Achievements
- Discovered critical Polygon Edge bug before mainnet launch at Mythical Games
- Built NFT marketplace infrastructure handling millions in transactions
- Architected P2P precious metals exchange with secure escrow (ShinySwap)
- Led blockchain meetup teaching 8000+ community members
AI Engineering
Specialized in production AI systems, from LLM orchestration to multi-agent frameworks, with focus on practical business applications.
Experience
- LLM integration and optimization for enterprise applications
- Multi-agent system design and orchestration
- RAG (Retrieval-Augmented Generation) implementation
- AI workflow automation and productivity tools
Technologies & Frameworks
- APIs: OpenAI, Anthropic Claude, Ollama for local deployment
- Frameworks: Custom agent orchestration, MCP (Model Context Protocol)
- Tools: Vector databases, embedding systems, prompt engineering
Key Achievements
- Created Guild Agent Framework for multi-agent orchestration
- Authored first Go SDK for Anthropic's Claude Code CLI
- Built YouTube summarizer with local LLM processing
- Consulting clients on AI workflow integration and productivity gains
Latest Technical Insights
$1 Million Per Week: My Seven-Week AI Development Sprint
I delivered $1 million worth of software per week for seven straight weeks using AI. Traditional COCOMO values the 219,400 lines of executable code at \(7.8M. My actual cost: \)636 in AI subscriptions. This is how I did it.
🚀 Git Worktrees + Claude Code: The Developer's Guide to Parallel AI Workflows
How developers are using git worktrees with Claude Code to run multiple AI agents in parallel—early patterns, real implementations, and practical setup guides.
Ready to fix what's slowing you down?
Most scaling problems have a 2-week solution and a 6-month solution. Let's find yours.
No sales calls. Just an engineer who gets it.