Lance Rogers / Hands-on AI engineering

Turn AI tools
into software
you can ship.

Your team has AI tools. I help turn them into a dependable way to build: working inside your codebase, fixing the workflow, and getting real projects over the line.

See what I’ve built

Work directly with a senior systems engineer.
11+ years in production. Go, Python, and the tools below.

What’s slowing your team down?

Start with the problem

Where does
the work stall?

Build a workflow that remembers.

I set up shared context, explicit plans, and clean handoffs so the next session can pick up the work.

See how Festival approaches this

Make the output easier to trust.

I build acceptance checks and visibility into the workflow, so your team can inspect what happened and decide what is ready.

Explore my observability tooling

Connect the agent to the real system.

I work through the backend, tool integrations, and failure paths with your team, turning a promising demo into a scoped engineering project.

See the integration tools I build
Previous engineering work

Bank of America · Mythical Games · Global Payments · Shutterfly

01 / Built in public

The work is here.
Look under the hood.

I build and publish the tools behind my practice.
Explore the code, watch a demo, or read the decisions.

Developer infrastructure

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claude-code-go

An unofficial Go SDK for the Claude Code CLI, with streaming, session management, and MCP integration. The plumbing for building agent capabilities into your own software.

Play the terminal recording to see the SDK in use.

Agent Economy demonstration dashboard showing coordination, inference, and on-chain decision panels

Multi-chain agents / ETHDenver 2026

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Obey Agent Economy

Five agents coordinating across Hedera, 0G, and Base. A public build connecting orchestration, inference, payments, and on-chain execution.

Dashboard shown with demonstration data.

Samantha

Voice interfaces / Go

A voice interface to coding agents, combining local speech models with a concurrent Go pipeline. Explore how voice, inference, and agent execution fit together.

↗
Watch the voice interface demo

agent-stream-dbg

Observability / Developer tools

A terminal debugger for multi-agent event streams, with support for SSE, gRPC, ACP, and replay. Tools for understanding what agents actually did.

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tcount

Token measurement / Go

An offline token counter with cost estimation and JSON output. A practical building block for understanding context size and model costs before a request.

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There’s more in the workshop.

Browse the full project catalog ↗GitHub ↗

03 / Your engineer

You work with me.
I work in the code.

Backend engineer with 11+ 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.

I bring the same approach to your team: understand the system, make the decisions explicit, and leave behind code and knowledge you can keep using.

Read my background ↗

04 / Field notes

From the workbench.

All writing ↗

Start a conversation

Let’s unblock
the next thing.

Tell me what you’re building and where it gets stuck. We’ll talk through the constraint, whether I can help, and what a useful first engagement could look like.

[email protected]

A short note is enough. You’ll talk directly with me.