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.
Define the product bet, user workflow, constraints, and the smallest useful proof point.
Turn the product shape into architecture, data flow, interfaces, and failure modes before code expands.
Use AI to accelerate implementation while engineers keep ownership of boundaries, tradeoffs, and review.
Exercise the product through tests, browser QA, security checks, and production-minded edge cases.
Release the working slice, study what changed, and feed the next cycle with sharper evidence.
Capabilities
Deep Java and Spring Boot experience, extended by AI-assisted workflows into the right tools, stacks, and protocols for each product.
About
Green Harbor Labs is 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.