AI-assisted engineering studio

Building software at the edge of AI and engineering craft.

Green Harbor Labs builds focused tools for machine payments, private knowledge, and disciplined agent-assisted engineering.

PAYGATE / IN MOTIONIllustrated flow
  1. CLIENTRequest
    GET /trust/report

    A machine asks for a trust report.

  2. PAYGATEPayment required
    402 Payment Required

    Paygate returns a Lightning payment challenge.

  3. SETTLEMENTPaid
    30 sats · Lightning

    The client pays, then retries with a credential.

  4. APIResponse
    200 Signed trust report

    The API returns the report and payment receipt.

Products

Products from the Lab

Focused tools for developers working across AI, knowledge, programmable payments, and engineering practice.

Open Source

Developer Infrastructure / Lightning Payments

Paygate

Paygate combines a Spring Boot server, a policy-aware Rust client, and a live reference service for Lightning-paid APIs.

  • Spring Boot 4
  • Rust
  • Lightning
  • L402
  • MPP
View Paygate
Private Build

AI Knowledge Tool / Developer Workflow

Harbor Mind CLI

Harbor Mind turns an Obsidian vault into a searchable, evidence-grounded knowledge system for people and AI agents.

  • Spring AI
  • PGVector
  • MCP
  • Obsidian
View Harbor Mind CLI
Private Build

Engineering Workflow / Agent Skills

Keel

Keel preserves the reasoning around non-trivial engineering work in small, tracked Markdown records.

  • Markdown
  • Git
  • Agent Skills
  • Fresh-context review
View Keel

Approach

AI as an Engineering Multiplier

Green Harbor Labs uses AI across the software delivery lifecycle to move faster while keeping architecture, security, and maintainability in focus.

  1. 01

    Frame

    Define the product bet, user workflow, constraints, and the smallest useful proof point.

  2. 02

    Design the system

    Turn the product shape into architecture, data flow, interfaces, and failure modes before code expands.

  3. 03

    Build with agents

    Use AI to accelerate implementation while engineers keep ownership of boundaries, tradeoffs, and review.

  4. 04

    Verify

    Exercise the product through tests, browser QA, security checks, and production-minded edge cases.

  5. 05

    Ship and learn

    Release the working slice, study what changed, and feed the next cycle with sharper evidence.

Capabilities

Engineering Capabilities

Deep Java and Spring Boot experience, extended by AI-assisted workflows into the right tools, stacks, and protocols for each product.

Backend

  • Java
  • Spring Boot
  • Spring Security
  • REST APIs
  • event-driven systems
  • data modeling

AI Workflows

  • AI coding agents
  • architecture exploration
  • decision records
  • fresh-context review
  • automation
  • rapid prototyping

Bitcoin & Payments

  • Bitcoin
  • Lightning
  • L402
  • payment-gated APIs
  • LNbits
  • LND

Frontend

  • React
  • Next.js
  • TypeScript
  • Tailwind CSS
  • responsive UI
  • product interfaces

Cloud & Data

  • cloud architecture
  • event-driven workflows
  • data pipelines
  • relational data modeling
  • graph-backed applications
  • batch processing

Product Delivery

  • PRDs
  • MVPs
  • internal tools
  • technical documentation
  • QA workflows
  • shipping discipline

About

About Green Harbor Labs

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.