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About Lance

Backend Engineer • AI Infrastructure

Lance Rogers
I'm Lance Rogers, a backend engineer with 11+ years shipping production systems across fintech, security, blockchain, and developer tooling. Today I build AI execution infrastructure: LLM orchestration, MCP, multi-agent systems, and evaluation tooling. I bring the same craft to your team.

What I do

Production AI infrastructure. I built and ship Festival, the camp and fest CLIs that organize agent workflows. 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 Festival 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. I build production Go and Python backends that handle real load: OTC crypto trading platforms with KYC and compliance workflows, NFT marketplaces handling 15M+ on-chain transactions per month (at Mythical Games) with 100% finality, and custodial wallet services that let non-crypto-native users hold and trade 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.

How I work

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.

Experience & Projects

AI

AI & Machine Learning

Festival (fest.build)
Obey Agent Economy
CRE Risk Router
Brainyard
Anywr.ai
Guild Framework
Claude Code Go SDK
YouTube Summarizer
AlgoScales
Bank of America Internal ML Automation
SSI Schaefer Warehouse Optimization
Blockchain

Blockchain & Web3

Shrapnel (Neon Machine)
Investifi
Mythical Games
Dragonchain
Blocksnap
ShinySwap
Swapblocks
Charlotte Blockheads
FinTech

FinTech & Enterprise

Bank of America
PNC Bank
Global Payments
Shutterfly
Festival (fest.build)
Obey Agent Economy
CRE Risk Router
Brainyard
Anywr.ai
Guild Framework
Claude Code Go SDK
YouTube Summarizer
AlgoScales
Bank of America Internal ML Automation
SSI Schaefer Warehouse Optimization
Shrapnel (Neon Machine)
Investifi
Mythical Games
Dragonchain
Blocksnap
ShinySwap
Swapblocks
Charlotte Blockheads
Bank of America
PNC Bank
Global Payments
Shutterfly

Latest Technical Insights

18 min read

I Worked on 54 Repositories in One Month

Eighteen months with AI agents and Festival: 3,723 merged PRs, work across 151 code repositories, and hundreds of plans. How I kept that much work moving.

AI coding-agents software-engineering Festival productivity cocomo
10 min read

Run GitHub Actions on the Computer You're Using

Private repositories burn GitHub minutes. Here is how to run Linux, Windows, and macOS jobs on the computer you already use.

GitHub Actions CI self-hosted linux windows macos
7 min read

Using Humanizer to Improve Blog Readability

I use AI to help write blog posts and recently started using Humanizer to improve draft readability. Here’s how I use its hz CLI and decide which edits to keep.

AI writing local-llm markdown developer-tools

Ready to Build Something Great?

Let's discuss how my experience can help accelerate your project.