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
Backend Engineer • AI Infrastructure
Production AI infrastructure. I built and ship Guild, the source-available Go agent framework behind the camp and fest CLIs. The stack is in daily use coordinating 27+ projects in one shared execution environment, with 90%+ token reduction versus unstructured agent runs. I also wrote claude-code-go, the first full-featured Go SDK for Anthropic's Claude Code, shipped within days of API availability.
Open-source Go developer tooling. Beyond Guild and Claude Code Go I've released a steady stream of small Go tools for working with AI and code: tcount (token counter for files and directories, also wired into a Neovim plugin), tree2scaffold (build project layouts from an ASCII tree), gomod-rename (refactor Go module paths cleanly), and algo-scales (open-source CLI for algorithm interview prep with AI tutoring, plus a companion Vim plugin).
Multi-agent and agentic systems. At ETHDenver 2026 I shipped the Obey Agent Economy: five autonomous agents coordinating across Hedera, 0G, and Base. Includes a Go inference agent on 0G's decentralized GPU network with ERC-7857 iNFTs, an autonomous DeFi agent on Base, settlement contracts, and a co-authored HIP-1215 ReputationDecay standard for agent reputation.
Backend at scale. At Investifi I led the backend of a white-glove OTC crypto trading platform that processed $20M+ in trades, including KYC, execution, and compliance workflows. At Mythical Games I shipped Golang microservices handling 15M+ on-chain transactions per month with 100% finality. At Shrapnel I built the GalaChain custodial wallet that lets non-crypto-native players hold and trade in-game assets without ever seeing a seed phrase.
Modernization in high-control environments. Inside Bank of America's Global Security group I rebuilt a 15-year-old codebase and shipped a CI/CD pipeline that cut deploy cycles from months to hours, reclaiming roughly six developer-months of productivity every year inside one of the most restricted enterprise environments in finance.
1. Plan first, code once. I spend real time on planning so the v1 deliverable is the right thing built well, not a fast first draft your team has to throw away. Most of the AI tooling I write enforces the same discipline on agents.
2. Systems thinking. I trace features to revenue, latency to user experience, and compliance to risk. That map guides architecture decisions long before any code gets written.
3. Knowledge transfer is part of the job. Clean commits, working docs, and team walkthroughs ship with every engagement. The goal is for your team to keep moving after I leave, not to keep me on retainer.
If your team is paying for AI tools but output is inconsistent, or you have hard backend, blockchain, or AI-infrastructure problems and want a senior engineer who has shipped them before, send a note. I bring engineers, not slide decks.
Enterprise-grade AI agent orchestration platform representing a significant advancement over single-agent tools like Aider and Claude Code. Built with 190,000+ lines of Go code across 767 files, featuring specialized AI agents working together through medieval guild metaphor. Currently in final development stages before open-source release.
Orchestrates specialized 'artisans' (AI agents) for research, coding, design, and documentation with event-driven real-time coordination
Impact: Specialized expertise vs single general-purpose AI
Dynamic prompt composition with context-aware templates, vector search integration via ChromemGo for semantic retrieval (RAG)
Impact: Advanced context management and knowledge retrieval
Integrated with OpenAI, Anthropic, Ollama, DeepSeek, and Ora with failover capabilities
Impact: Vendor-agnostic AI development with reliability
Rich TUI with markdown rendering, syntax highlighting, session persistence, LSP integration, and 5-column Kanban board
Impact: Visual superiority over plain-text competitors
Go SDK providing a native interface to Claude Code CLI features, enabling developers to build AI-powered applications with Claude's coding capabilities.
Complete Claude Code CLI wrapper with streaming support and context cancellation
Impact: Native Go interface for Claude Code features
Model Context Protocol (MCP) integration with multiple output formats (text, JSON, streaming JSON)
Impact: Advanced AI tool integration capabilities
Multi-turn conversation support with file processing capabilities
Impact: Production-ready conversational AI features
Leverages Claude Max subscription to avoid API costs
Impact: Reduced AI development costs for Go developers
CLI tool for summarizing YouTube video transcripts using Ollama for 100% local processing. Supports intelligent transcript extraction, interactive TUI, and research planning features.
Uses Ollama for 100% local processing without external API keys
Impact: Complete privacy with no external data sharing
Prefers manual captions, supports multiple input formats (.txt, .list, .urls, .csv)
Impact: Flexible input handling with intelligent caption selection
Create focused research plans to extract targeted content across multiple videos
Impact: Comprehensive research document generation from video corpus
Video chunk processing, transcript caching, comprehensive logging
Impact: Efficient processing of long videos with persistent cache
Early-stage open-source algorithm learning tool for coding interview preparation. Built in Go with a terminal-first design to help developers practice 11 fundamental algorithm patterns.
Organizes coding problems by algorithm patterns (Sliding Window, Two Pointers, etc.) similar to musicians practicing scales
Impact: Structured approach to algorithm pattern recognition
Learn, Practice, and Cram modes with progress tracking and daily practice workflow
Impact: Flexible learning experience with built-in accountability
AI-powered hints and explanations using Ollama or Claude Code via custom Go SDK
Impact: Enhanced learning with AI assistance
Vim plugin for in-editor problem solving, with Neovim and VS Code support planned
Impact: Practice within familiar development environment
Automated my job by building a neural network using python and numpy to write regular expressions and SQL code based on business requirements.
Generate regular expressions and SQL code based on business requirements
Impact: Reduced workforce requirements
Automated an incredibly tedious business process by building a tool that performed a 3 month excel based analysis in 30 seconds with a button click
Impact: Reduced workforce requirements
Applied machine learning to robotic warehouse debugging and maintenance scheduling.
ML models for warehouse efficiency optimization
Impact: Improved maintenance planning, reduced firedrills and system shutdowns
Integrated ML predictions into warehouse automation systems
Impact: Smarter warehouse operations
Blockchain infrastructure development for gaming-focused NFT marketplace handling millions in transactions per day.
Golang microservices handling on-chain transactions
Impact: 15M+ transactions/month with 100% finality
Solidity contracts for gaming and marketplace features
Impact: Audited contracts deployed to production
NFT bridge architecture to mainnet Ethereum
Impact: Enabled asset portability between networks
Developed dApps and blockchain infrastructure for enterprise blockchain platform.
Python/Node.js microservices for rapid dApp prototypes and POCs
Impact: Accelerated client project delivery
Architected platform with weighted voting using time-held coins
Impact: Novel governance mechanism implementation
Smart contracts and Go backend for decentralized social media
Impact: Production social media dApp
Personal project building distributed exchange for physical precious metals trading with DeFi integration.
Distributed system for peer-to-peer precious metals trading
Impact: Enabled physical asset liquidity access
On-site verification system for physical asset trades
Impact: Trustless trading of physical assets
Bridge to use physical metals in DeFi protocols
Impact: Novel asset class for DeFi
Designed and developed a subnet blockchain network for automating complex asset transfers with signficant regulatory documentation requirements.
Consortium subnets chose the best contract engine for their particular use case.
Impact: No reliance on niche developers for implementation.
Founded and led major cryptocurrency meetup group in Charlotte, North Carolina.
Led modernization efforts for one of America's largest financial institutions, focusing on enterprise CI/CD infrastructure and legacy security scanning systems.
Designed and implemented CI/CD pipeline for 15-year-old codebase
Impact: Reduced deploy times from months to hours
Modernized legacy Python security scanning software
Impact: Ensured compliance with modern secure coding standards
Automation and process improvements
Impact: Reclaimed 6+ months/year of lost developer time
Conducted comprehensive audit of data processing pipelines for major regional bank.
Comprehensive security and accuracy audit of Python data pipelines
Impact: Found coding errors missed in an OCC remediation effort affecting thousands of customers
Performance optimization of data processing systems for payment processing company.
Performance tuning and cost optimization of ETL processes
Impact: Cut AWS spend by $40K/month
Worked on order processing systems for one of the largest photo commerce platforms.
Enhanced Python-based order workflow engine routing online orders to factory processes
Impact: Improved order processing reliability and throughput
Assisted in migration planning of Forge from on-prem servers to AWS
Impact: Modernized infrastructure for better scalability
A battle-tested workflow for using Claude Code to manage large-scale projects with parallel AI agents working like a distributed engineering team
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.
How developers are using git worktrees with Claude Code to run multiple AI agents in parallel—early patterns, real implementations, and practical setup guides.
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