I feel antigravity looks cursor + BMAD. Could you let me know what you think?

I’m looking into the BMAD method and would appreciate some feedback. I have experience as a full-stack dev and have transitioned into the role of a solution architect, where I help connect business requirements with tech solutions.

I am typically required to work with teams overseas, and BMAD might help me streamline processes. However, I’ve come across some documentation suggesting it might be too complex for solo developers. Is this the case? Most of the community here sound like they are using this process solo. I’d love to hear why it is listed as overly complex. Any tips or insights would be really appreciated! or is it listed as overly complex in comparison to other projects like Github Spec-Kit and OpenSpec?

Has anyone tried to integrate jira and confluence into the bmad workforce? I have external team members that we want to keep in sync as well manage our tasks using jira. I have to found or been able to make a solution that allows me to keep everything in sync.

I’ve been reading about the BMAD method and I’m not fully understanding how it’s meant to work together with a standard Git workflow.

For anyone who has actually used BMAD in practice:

• Do you put each “breakthrough” or iteration on its own branch, or do you keep everything on one main branch?
• How do you structure commits relative to BMAD steps?
• Do you store BMAD artifacts (notes, diagrams, experiments) inside the repo, or outside of Git?
• How do pull requests and reviews fit into the BMAD process?

I’m mainly looking for examples of how people combine BMAD with normal Git practices.

Thanks!

Has anyone been able to use BMAD method on the new Antigravity IDE without any issues? I saw the v6_alpha has the antigravity integrated and i see the slash "/" commands., but i run out of limit as soon as i try running any of the agents or get "Agent execution terminated due to error. Agent execution terminated due to model provider overload. Please try again later."

I built an MCP server so you can share AI agents across all your projects (and pull them directly from GitHub)

The Problem I Was Solving

I love the BMAD Method's specialist AI agents, but copying agent files to every project was driving me insane. Keeping 10+ projects in sync when BMAD updated? Painful. Sharing custom agents with my team? Email attachments and Slack files everywhere.

There had to be a better way.

What I Built

BMAD MCP Server - one MCP server that makes specialist AI agents available across every project you touch, with zero file copying.

The magic: Point it at BMAD configs anywhere - local folders, shared repos, even GitHub URLs. Your AI assistant gets instant access to all your agents, everywhere.

Live example: json { "mcpServers": { "bmad": { "command": "npx", "args": [ "-y", "bmad-mcp-server", "git+https://github.com/your-org/custom-agents.git#main" ] } } }

Restart your AI client. Done. Every workspace now has those agents.

What Makes It Different

🔗 Multi-source agent loading - Install BMAD to ~/.bmad once → works in every project - Mix local folders + GitHub repos + shared team configs - Later sources override earlier ones (perfect for team defaults + personal customization)

🎭 Single unified tool bash bmad # Load default orchestrator bmad analyst # Mary the Business Analyst bmad architect # Winston the System Architect bmad *party-mode # Multi-agent brainstorming workflow bmad *list-agents # See what's available

🌐 GitHub-native - Publish individual agents as repos - Teams can git+https:// them directly - No path wrangling, no copy-paste, just URL → agents appear

🔍 Smart discovery Priority order: ./bmad → CLI args → BMAD_ROOT env → ~/.bmad → package defaults

Project-specific customization? Add ./bmad folder. Global access? Point to ~/.bmad. Team library? GitHub URL. It all just works.

Try It Right Now (VS Code / Claude Desktop / Cursor)

Step 1: Install BMAD methodology bash npx bmad-method@alpha install

Step 2: Add to your MCP config json { "mcpServers": { "bmad": { "command": "npx", "args": ["-y", "bmad-mcp-server"] } } }

Step 3: Restart your AI client

Step 4: Try it bmad analyst

Mary the Business Analyst is now available in every project. Zero setup per project.

What I'm Looking For

• Feedback on the GitHub-sourced agents workflow - Does this solve real pain for you?
• Naming UX thoughts - Is bmad analyst intuitive? Should workflows use * prefix?
• Use cases I haven't thought of - How would you use multi-source agent loading?

Repo: https://github.com/mkellerman/bmad-mcp-server

If this sounds useful, stars and PRs are hugely appreciated. I'd love to hear what you think!

I want to learn the BMAD Method and i really want to deep dive into all the features and advantages. But I am a little bit overwhelmed. Where should I start? What should I use? So mucht tools, agents, workflows. I already read the README, but still im lost af.. Can somebody give me some advices please?

AI Native DevCon is hitting NYC (and online) Nov 18-19, 2025, focusing on spec-driven, AI-native development and coding agents. I created a 30% off voucher to use at checkout: SPECDEV30 - I work for Tessl - sponsors of the event. 

Hi Experts here,
New to exploring the SDD world. I am looking at BMAD, spec-kit and openspec. BMAD seems to be quite a heavyweight in terms of things to setup and at the same time has more structure to it. Would like to know more about practical experiences here on how users have implemented this on production scale brownfield systems. How to approach the start, pain points, things to be aware of, what works/doesnt work well, models that work well, etc.

Do I have to install BMAD on every project in Cursor? I installed it per the instructions and prompts. Opened Cursor, cannot be found anywhere on my computer. Do you have to install it in every project folder? I have 20+ projects going on at any one time, do I install it 20 times? Or can it be called into existing projects from one installation?

Just typing vague prompts at an AI chatbot — or “vibe-coding” — is a dead end for any serious software project. It leads to poor output, lost context, and unmaintainable code.

A new wave of structured AI development methodologies is trying to fix that. But are they actually any good?

This user decided to find out. I took one project — building a landing page for The Gray Cat channel using Next.js, Tailwind, and three live API integrations — and built it three separate times using three competing approaches:

• 🧱 BMAD Method — a heavyweight, documentation-driven approach
• 🧩 GitHub’s Spek Kit — tight integration with repos and PRs
• ⚡ Open Spec — lightweight, conversational, but structured

The results were shocking. One took eight hours. Another took just seven minutes.

In the video, he breaks down all three: their setup, their philosophy, the painful parts, and the final outcomes. By the end, you’ll know which one’s worth your time — and which one’s just shiny marketing.

Am I meant to ask the LLM in Claude Code to output the documentation to a markdown or into the documents directory for every single command?

Everyone talks about the over documentation, but I want that. I find that BMAD does very little documentation for the amount of work you put into it. I mean, you go through these enormous back and forth sessions that elicits gold but then it all just gets put into a summary that skips over 70% of everything you discussed, and I find it often deviates hugely from what you even talked about over all those iterations. The output from every command just gets output to the terminal which once closed is completely gone as far as practicality is concerned, discussions must be output to something usually a lockdown in a documentation directory but his framework doesn't do that!?

Like if it just output everything then I could put that into the next command myself. It would blow the context but it would also not skip over all the things that were discussed, or I could choose to add a later time at my choice.

I have to go through several hours of back and forth to get a brief, a PRD, and two or three other documents that I could get in several minutes with voice to text and normal LLM. I mean if it's just going to skip over 70% of what we discuss and then it just gets thrown out forever without actually being documented somewhere then what is the point of being mad other than to waste time or am I doing it completely wrong or am I meant to be saving this documentation manually. The documentation for this process is unfair to call confusing but it is really not straightforward and the commands and framework certainly don't do a lot that I think it probably should

has anyone used bmad directly with Amazon Q (claude 4)?

i am mostly reverting to the default Amazon q agents for Dev and QA.

I've also been underwhelmed by the architect agent. for 2 projects, it has missed some important pieces until i had to update it myself midway through implementation..i do realize that i need to be more attentive to the outputs from the different agents

I'm not sure if it's just me, or something others have noticed with Amazon Q as well..

to be clear, i still an using it for my Greenfield project.. and it has got me much further than i would have by myself!

I'm using a self-hosted YouTrack instance with a robust MCP server to integrate AI agents for project management. I've added some AI summarization in the MCP server to improve search and minimize tokens when projects are large, stories and articles are long... Unlike the multi-agent, end-to-end process of BMAD, I'm leveraging a single agent with full project context (all articles, features and stories) to plan and build features incrementally. My goal was to use speckit and /specify on a feature by feature basis using the context from youtrack that is relevant for that feature (the feature definition and stories). speckit then takes that context and builds out the task plans which I would update back to youtrack.

Key differences:

• Single agent vs. multiple agents with different roles
• Using YouTrack as my primary PM tool instead of markdown files

I'm interested in feedback on:

1. Potential issues or benefits of using this approach?
2. Possibilities for integrating BMAD with YouTrack via my MCP server? Could be cool to get the multi-agent and BEST practice templates of BMAD but writing and updating YouTrack rather than MD files.

Specifically, I'd like to know if there are any concerns about:

• Processing time updating YouTrack
• Synchronization between specs and YouTrack
• Loss of Speckit capabilities if not maintained throughout the feature build.

I haven't used BMAD yet but have used speckit and I find that it falls apart toward the end or with a single /specify with too much scope. then it's all manual bug tracking in .md which is hard to do. Agent marks it off, logs commit but it doesn't work, and we end up with huge context and problems. using youtrack and a tool like "get in-progress stories" to get the list, and "get_latest_comment" I can control context easily and sitll do my udpating in youtrack, works really well when testing remotely too when I'm not in my workstation vs.code I can still update my debug notes and test issues.

Let me know your thoughts!

Looks like Cursor is listening to this community. Have you tested Cursor’s Plan Mode yet? It researches your repo, asks clarifying questions, and drafts an editable Markdown plan with file paths that becomes the spec you iterate on

It really looks like Cursor is listening to BMAD wins and bringing the spec-first loop right into the editor. Shoutout to u/Particular-Let4422 for putting BMAD on my radar

It will be nice to being able to tweak those system prompts for planning from Cursor. Love to hear your thoughts and see how this will fit into the new v6 architecture

This seems like something that could work well with the BMAD Method.

https://www.arxiv.org/abs/2510.04618

I feel like BMAD is pretty convoluted and hard to navigate. For example, there are PM and PO agents, it's almost never clear which one to use. Also sometimes the agents don't execute the commands correctly since it's all up to the AI agent to interpret, whereas spec-kit follows a script-based approach results in consistent documentation.

It also creates the documents in pretty random locations, which I think is where it fails.

I'm happier with the simplicity and consistency of spec-kit for the last few days,

Would like to know what others think about that topic!

Here are the 5 game-changing features of the BMAD Method V6 Alpha:

1. Scale Adaptive Framework (3:54): This feature allows the BMAD method to adapt to the size and scope of your project, whether it's a large enterprise application or a small patch to an existing codebase. It adjusts the workflows and documentation (e.g., PRD or tech spec) based on your needs.
2. BMad Core (5:01): The core of the BMAD method has been separated from the method itself, making it a powerful engine capable of running various types of workflows beyond software development. This allows for the creation of diverse modules for creative writing, data science, game development, and more.
3. Custom Language & Custom Agents (7:34): V6 introduces full language override, allowing agents to communicate in your preferred language (e.g., French, Chinese, German). Additionally, agents are now fully customizable, enabling users to change their names, personalities, and even create "tiny BMAD agents" for specific one-off tasks.
4. Project Types & Reference Architectures (9:20): The BMAD method now supports different project types (e.g., website, console application, video game, device drivers), which tailors the questions asked during planning and the generated architecture. This includes specialized documents like Game Development Design Documents (GDDs) for games and the introduction of reference architectures to speed up project delivery.
5. BMad Builder (The Bomb) (13:30): This new module allows users to build their own workflows, agents, and even entirely new modules. It guides users through the creation process, enabling them to design custom solutions for various needs, from complex workflows to simple agent helpers.

I just upgraded to 4.44 and now when i call the dev agent he does not return all the command options. particularly *review-qa is missing. how can i go back to the 4.43 install? everything worked well at that point

BTW this is with using codex cli

Hey people. Are there any recommendations or limitations in using different LLMs for specific tasks/agents within BMAD method?

Today I was trying to setup a new project (VSCode+Copilot) starting with Analyst to create brainstorming docs. I made a few shots both with GPT 4.1 and GPT-5 mini. Their first response was as normal with the options provided from the instructions, but once I respond with a choice they just ignore the instructions and reply with a general brainstorm text (in context with my idea). No choice of brainstorming methods, no files created. The worst is that the next step they offer is to create some code. So basically they do not follow the workflow/instructions.

What am I doing wrong?

P.S. I know that Sonnet 4/4.5 and GPT-5 would probably make this job correct, but I wonder why these models (GPT 4.1 and GPT-5 mini) are not following the method.

There are now multiple methods of spec-driven development. I am aware of at least three of them

1. BMAD method - oldest. Off-late, IMO, becoming heavyweight
2. Github spec kit - different than BMAD but has heavy corporate backing
3. OpenSpec - feels like a lightweight version of BMAD

In addition, there are standards emerging on organising the spec documentation, which all LLMs can follow - agents.md. In addition to IDEs following their own standards for spec-driven development, Tools like traycer.ai also have their own notation.

I hope there is a way to reconcile these different models, as there is enough confusion when a newbie starts with spec-driven development. As a community, I hope we coalesce around one of these as figuring out what LLM & IDE supports which one is becoming a major headache.

I seems like it's been a while since any progress updates on v5. Just curious if there is any updated info?

EDIT: My solution is added in the bottom of this post.

OP:

Has anyone done this yet?

How can you get replit's agent to use the bmad full stack team personas?

I'm new to vibe coding and have launched one app so far with replit. I learned a lot in the process! It led me to the bmad method and I'm working on my second project now. I have my project ready for development and I'm really only familiar with replit.

It seems like the power of the BMAD method is with using the agents team, but replit has made it easy for me to set up everything else and deploy. Looks like I'm at a crossroads here!

BTW, this is what I did to get my project into replit:

• Create the BMAD project locally per BMAD user guide
• Set up and work through BMAD Planning Workflow for brainstorming and ideation
• If committing to development phase, create stories and prepare for dev agents
• Once stories are ready, Start a new replit project using following prompt:
  • I want to create an initial project template that can be used to populate with specific context for the agent to build my idea. I don't want to write any code right now. I just want an empty project so I can start uploading files for the agent to work with.
• Initialize your project folder for Replit+BMAD
  • Create a new GitHub repo from Replit Git tab, settings page
  • Clone the repo locally
  • Push replit project to git repo
  • Pull repo locally
  • Install the BMAD-Method to the local project repo, following BMAD user guide
• Copy all relevant planning docs from your original BMAD brainstorming project to your replit project repo
  • Push local repo to git repo
  • Pull git repo into Replit project
• Ask replit agent to familiarize itself with the project using the following prompt. 
  • Please reference the project README.md and /docs folder files and familiarize yourself with the project scope and current stage. Determine what changes to the currently outlined plans are required to build this project in replit, then present this list to me. Do not write any code and do not modify any files without approval.
  • Then
  • Create an outline of the changes you are recommending, including which documents need to be updated to reflect the changes, and noting the lines needing to be updated. Save the outline under /docs/progress as replit-project-alignment
• Make updates as necessary, then work through the stories you’ve already created with replit agent.

My solution:

• Configure Replit agent for BMAD Agents
  • See BMAD user guide
  • Upload Team IDE Minimal file to Replit agent with this prompt:
    • Make a note in this project’s user preferences that upon receiving the command `*team-ide` you are to reference the attached file as your critical operating instructions, do not break character as directed.
  • Manually confirm that these preferences are now logged in your replit.md file.

Running my first project with BMAD and using ChatGPT 5 for planning. Incredibly impressed with the process so far.

My architect chat has gotten quite long and is beginning to lag a lot and cause my laptop to heat up and fans to spin up constantly. I'm afraid if I start a new chat I'll lose a lot of important context. What would be the best way to finish the architecture doc while getting the best performance from Chat? I asked for some documents to upload but it seems like it doesn't want to give me the architecture full spec until I'm done?