sjennings 1d8df63ac5 feat(bmgd): Add E2E testing methodology and scaffold workflow (#1322)
* feat(bmgd): Add E2E testing methodology and scaffold workflow

- Add comprehensive e2e-testing.md knowledge fragment
- Add e2e-scaffold workflow for infrastructure generation
- Update qa-index.csv with e2e-testing fragment reference
- Update game-qa.agent.yaml with ES trigger
- Update test-design and automate instructions with E2E guidance
- Update unity-testing.md with E2E section reference

* fix(bmgd): improve E2E testing infrastructure robustness

- Add WaitForValueApprox overloads for float/double comparisons
- Fix assembly definition to use precompiledReferences for test runners
- Fix CaptureOnFailure to yield before screenshot capture (main thread)
- Add error handling to test file cleanup with try/catch
- Fix ClickButton to use FindObjectsByType and check scene.isLoaded
- Add engine-specific output paths (Unity/Unreal/Godot) to workflow
- Fix knowledge_fragments paths to use correct relative paths

* feat(bmgd): add E2E testing support for Godot and Unreal

Godot:
- Add C# testing with xUnit/NSubstitute alongside GDScript GUT
- Add E2E infrastructure: GameE2ETestFixture, ScenarioBuilder,
  InputSimulator, AsyncAssert (all GDScript)
- Add example E2E tests and quick checklist

Unreal:
- Add E2E infrastructure extending AFunctionalTest
- Add GameE2ETestBase, ScenarioBuilder, InputSimulator classes
- Add AsyncTestHelpers with latent commands and macros
- Add example E2E tests for combat and turn cycle
- Add CLI commands for running E2E tests

---------

Co-authored-by: Scott Jennings <scott.jennings+CIGINT@cloudimperiumgames.com>
Co-authored-by: Brian <bmadcode@gmail.com>
2026-01-14 20:53:40 -06:00
2025-11-05 14:14:31 -06:00
2025-12-27 18:29:35 +08:00
2026-01-13 02:27:25 +08:00
2026-01-11 13:16:49 +08:00
2026-01-07 18:18:12 +08:00
2025-12-15 17:30:12 +08:00

BMad Method

Version License: MIT Node.js Version Discord

Build More, Architect Dreams — An AI-driven agile development framework with 21 specialized agents, 50+ guided workflows, and scale-adaptive intelligence that adjusts from bug fixes to enterprise systems.

100% free and open source. No paywalls. No gated content. No gated Discord. We believe in empowering everyone, not just those who can pay.

Why BMad?

Traditional AI tools do the thinking for you, producing average results. BMad agents act as expert collaborators who guide you through structured workflows to bring out your best thinking.

  • Scale-Adaptive: Automatically adjusts planning depth based on project complexity (Level 0-4)
  • Structured Workflows: Grounded in agile best practices across analysis, planning, architecture, and implementation
  • Specialized Agents: 12+ domain experts (PM, Architect, Developer, UX, Scrum Master, and more)
  • Complete Lifecycle: From brainstorming to deployment, with just-in-time documentation

Quick Start

Prerequisites: Node.js v20+

npx bmad-method@alpha install

Follow the installer prompts to configure your project. Then run:

*workflow-init

This analyzes your project and recommends a track:

Track Best For Time to First Story
Quick Flow Bug fixes, small features ~5 minutes
BMad Method Products and platforms ~15 minutes
Enterprise Compliance-heavy systems ~30 minutes

Modules

Module Purpose
BMad Method (BMM) Core agile development with 34 workflows across 4 phases
BMad Builder (BMB) Create custom agents and domain-specific modules
Creative Intelligence Suite (CIS) Innovation, brainstorming, and problem-solving

Documentation

Full Documentation — Tutorials, how-to guides, concepts, and reference

For v4 Users

Community

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  • GitHub Issues — Bug reports and feature requests
  • Discussions — Community conversations

Support BMad

BMad is free for everyone — and always will be. If you'd like to support development:

  • Star us on GitHub — Helps others discover BMad
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Contributing

We welcome contributions! See CONTRIBUTING.md for guidelines.

License

MIT License — see LICENSE for details.


BMad and BMAD-METHOD are trademarks of BMad Code, LLC.

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Breakthrough Method for Agile Ai Driven Development
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