DamageBDD – Verifying Software Behaviour at Planetary Scale

What is DamageBDD?

DamageBDD is a platform that lets anyone – not just programmers – describe how software should behave, using simple sentences. These sentences are written in a format called BDD (Behaviour Driven Development), which turns software testing into a conversation instead of a cryptic task only engineers understand.

Think of it like writing instructions for how an app should work, and DamageBDD automatically checks if the app really does that. This makes it possible for teams of all skill levels – developers, testers, support staff, even end users – to work together and catch problems before they reach the real world.

Why is it powerful?

Unlike traditional testing tools that need experts and manual effort, DamageBDD:

This means DamageBDD isn’t just about testing – it’s about trust, transparency, and automation at scale.

Example

Feature: Test echo json functionality of JsonTest.com using HTTP API

  Scenario: GET request to JsonTest.com
    Given I am using server "http://echo.jsontest.com"
    When I make a GET request to "/key/value/one/two"
    Then the json at path "$.one" must be "one"

This tells DamageBDD what to test – and it does the heavy lifting behind the scenes, checking servers, APIs, and even entire apps.

Business Use Cases

Revenue Streams

Target User Roles

Role Use Case
End User initial requirements, feature requests, defect reporting
Product Support feature requests, isolating defect behaviour, edge cases, monitoring, alerting
QA define expected behaviours, continuous monitoring, reporting, alerts
Infra availability monitoring, endpoint latency reporting, alerts
Development prototyping, maintenance, verification, continous monitoring
Management project velocity, current progress, performance metrics, fund allocation

Feature Highlights

DamageBDD Feature Status
REST API for test execution βœ… Done
Scheduled testing, continuous testing config πŸ§ͺ Testing
Bitcoin & DeFi payment system πŸ”¨ In progress
Secrets management and variable templates πŸ§ͺ Testing
CI/CD integration and monitoring πŸ§ͺ Testing
AI-generated tests and code suggestions 🧠 In analysis
Appium and Selenium browser/mobile testing πŸ§ͺ Testing
IPFS reports, dashboards, alerts πŸ§ͺ Testing
Webhook triggers πŸ§ͺ Testing
Zero Knowledge Proof test validation & payouts πŸ” Researching
DAMAGE Token governance and test ecosystem incentives πŸͺ™ In analysis

Why DamageBDD is Unique

Links