AI-Assisted Applications
Products and tools that use AI as a core capability, from agent workflows to intelligent interfaces.
AI-assisted engineering studio
Green Harbor Labs creates developer tools, backend systems, prototypes, and web products with production-grade thinking.
Practical software products and experiments using modern engineering practices, AI-assisted workflows, and a bias toward shipping.
Products and tools that use AI as a core capability, from agent workflows to intelligent interfaces.
Utilities, automation, and workflows that help engineers plan, build, test, and ship faster.
Fast, polished browser products with clean UX, modern frontend architecture, and scalable foundations.
Focused builds that explore product ideas, AI workflows, tools, and technical concepts.
Featured Project
Spring Boot starter for Lightning payment-gated APIs
Developer Tool / Spring Boot Starter
Paygate lets Spring Boot developers protect endpoints with a single annotation, issue HTTP 402 payment challenges, and accept Bitcoin Lightning credentials through L402 or the draft Payment authentication flow.
Paygate Agent Trust exposes free catalog and quote APIs, then protects trust report generation with Paygate. Program clients can request a report, receive a Lightning payment challenge, pay the invoice, and retry for a signed JSON response.
Most API monetization stacks are built around accounts, subscriptions, and human checkout flows. Agent and machine clients need a protocol-native way to pay per request without custom billing infrastructure.
Paygate auto-configures Spring Boot filters, protocol handlers, Lightning backends, credential validation, and observability. Developers add `@PaymentRequired`, configure LNbits or LND, and unpaid requests receive a 402 challenge instead of protected content.
As agents consume more APIs directly, payment and authorization need to become programmable, metered, and machine-readable. Paygate gives Java teams a concrete path to sell API access over Lightning without building the payment protocol layer from scratch.
Approach
Green Harbor Labs uses AI across the software delivery lifecycle to move faster while keeping architecture, security, and maintainability in focus.
Capabilities
A practical mix of frontend, backend, AI workflow, cloud, and product engineering experience.
React · Next.js · TypeScript · Tailwind CSS · responsive UI · animation
Java · Spring Boot · REST APIs · event-driven systems · data modeling
AI coding agents · planning workflows · model-assisted development · automation
AWS · SQS · S3 · relational databases · graph databases · batch processing
PRDs · prototypes · MVPs · internal tools · technical documentation · QA workflows
About
Green Harbor Labs is the software engineering home of Mark Hammond, a place for building, testing, and shipping AI-assisted software products, experiments, and tools.
The lab focuses on practical software: useful products, clean systems, thoughtful architecture, and fast iteration powered by modern AI workflows.