We all love vibe coding. You throw an idea at an AI, and it spits out code. It’s magical. Except, after 30 minutes, the AI forgets what you initially said. It starts hallucinating features you never asked for. It ignores half your codebase. If you’re not careful, your project turns into a spaghetti-coded mess architected by a late-night intern.
I know what I’m talking about. I’ve spent entire evenings debugging things an AI simply invented. I’ve had to explain countless times that it was going completely off the rails. And despite it often telling me, “You are absolutely right,” there are times when vibe coding, as powerful as it is, just isn’t enough.
What if I told you there’s a way to have the magic of vibe coding but with the discipline of a Google engineering team? An architect who designs your system, a product owner who structures your specs, a scrum master who breaks down tasks, and a developer who codes cleanly, respecting your codebase without ever hallucinating.
And the craziest part? A brainstorming assistant that knows the world’s 11 greatest brainstorming methods and guides you through the three best suited for your idea to squeeze every last drop of potential from your concept.
Today, I’m showing you the BMAD method, which has honestly revolutionized the way I code and given me, and I quote a message I sent to a friend, “a divine power on tap.” It’s insane.
To demonstrate, we’ll start with a vague idea, submit it to the process, and arrive at a fully coded and tested final product.
The Spark of an Idea
To kick things off, let’s bring in the first agent of the BMAD method: the Brainstorming Assistant. You’ll see my initial vague idea and how this agent helps shape it into something far more substantial than I had originally envisioned.
First, you open your IDE or code assistant. The BMAD method can be installed almost anywhere. We’ll start by calling the analyst agent.
Bmade Agent Analyst
This agent reviews its role and capabilities, then introduces itself: “Hello, I’m Marie, your business analyst.” It presents a few options, the first of which is to start a brainstorm session. That’s exactly what we’ll do.
The assistant asks for a general overview of the idea. My concept is quite simple. I used to create short articles on tech and dev news, covering everything from minor Twitter dramas to significant industry breakthroughs. These were easy to produce and the community loved them. The problem is, for my own mental health, I decided to stop using platforms like Twitter. As a result, I’m no longer up-to-date on these small news items and can no longer produce these briefs.
So, my idea is to build a tool that can monitor Twitter, Reddit, and Hacker News for me. It would create a digest of the most interesting topics to cover, saving me from having to spend my time and mental energy on these platforms. This will likely involve scraping, summarizing with LLMs, and then a simple interface for me to review the ideas and decide which ones to pursue.
Clarification and Brainstorming
The agent, having understood the concept, asks a few clarifying questions before diving into the brainstorming techniques.
A key challenge is scraping. Accessing Twitter’s API is prohibitively expensive. Other platforms have their own protections. When you want to aggregate multiple data sources, each platform has its own defenses. Twitter hits you with captchas, Reddit rate-limits you, and Google Trends blocks you if you don’t have the right IP. This doesn’t even cover the maintenance nightmare of keeping four or five different scrapers running every time a platform updates its CSS.
A unified web access layer is the solution. A single API can provide access to everything: Twitter, Reddit, Google Trends, GitHub, Product Hunt. It all goes through the same endpoint. The service handles proxies, IP rotation, captchas, and fingerprinting. At the end of the chain, you just get clean JSON. It’s incredibly convenient.
// Example of a simplified request
const data = await fetch(`https://api.unified-web-access.com/scrape?url=${targetUrl}`);
const json = await data.json();
This approach allows us to focus on the business logic—scoring trends, the interface, the analysis—without spending days fighting anti-bot systems.
With that technical hurdle addressed, the agent suggests we move on to the brainstorming itself. This is where it gets fascinating. The agent presents 11 different brainstorming techniques and will help us select three.
The 11 Brainstorming Techniques:
- What-If Scenarios: Pose provocative questions and explore the consequences.
- Analogical Thinking: Look for analogies in other fields.
- Reversal/Inversion: Invert the problem (e.g., “How could we make this tool useless?”).
- First Principles: Decompose the problem to its fundamental truths.
- …and seven others.
Brainstorming is a theorized art form. I had no idea these techniques were so advanced. The agent’s ability to guide you through these scenarios is a game-changer. I ask it to choose the most suitable techniques for my project.
Technique 1: Role-Playing
The first technique selected is Role-Playing: putting yourself in the shoes of your target audience to understand what truly captures their attention. The agent creates three personas, and I have to answer questions from their perspective.
Persona 1: The Curious Junior Developer
- Scenario: A junior dev, just home from work, opens his browser. What makes him click on your article instead of another? What does he hope to learn or feel?
- My Response: He’s mentally drained. He doesn’t want anything too technical or complex. He wants to relax within his niche. Easy-to-digest content is key. Dramas, controversies, and quick, light technical stories work well.
The agent synthesizes this: “Junior dev, tired brain. Needs easy content. Drama is a winner. Learning without effort. Short format, fast pace.”
Persona 2: The Senior Tech Lead
- Scenario: An experienced dev (5-10 years), maybe a lead or freelancer. Basic tutorials bore him. What makes him click? What is he looking for that the junior isn’t?
- My Response: This isn’t the primary audience. They are few and hard to satisfy. But they appreciate drama, major breakthroughs, and intellectual honesty. They hate bullshit and shortcuts. Advanced technical topics are too much work for a low return on investment for a short brief.
Persona 3: The Tech-Curious Newcomer
- Scenario: This is the real target. Someone not in development but tempted by tech. What makes them click?
- My Response: New methods, success stories, revolutions that simplify things—these are all fascinating topics for them.
The agent provides a magnificent synthesis of the role-playing session, identifying the core patterns: drama, inspiring success stories, and AI advancements are universally appealing.
The brainstorming continues with other techniques, like the “5 Whys,” to dig deeper into the motivations behind the audience’s interests. These exercises force a level of introspection that goes beyond just “getting views” and helps imbue the project with real, human-centric meaning.
From Brainstorm to Blueprint
After the brainstorming, the agent generates a comprehensive synthesis document. This brainstorming.md file is gold. At this point, I haven’t written a single line of code. We’ve focused entirely on the core idea, enriching it and pushing it as far as possible. Now, with this document, we can finally start looking at the project from a more technical angle.
The BMAD workflow is a structured process. After the “Discovery” phase (brainstorming), we move to Phase 2, which involves the Product Manager (PM) agent.
I launch a new session and call the PM agent.
Bmade Agent PM
“Hello, I’m John, your product manager agent.” I explain that I have a completed brainstorming document and a blank project. The agent recommends the Create PRD (Product Requirements Document) option.
The PM agent reads the brainstorming.md file, absorbing the pure, distilled information without being cluttered by the back-and-forth of the brainstorming session. This is a major strength of the BMAD method. It then guides me through a 9-step process to generate the prd.md.
A PRD is a key document that describes in detail a product or feature to be built: its purpose, objectives, features, target users, and functionality. It also includes non-functional requirements—important project knowledge that isn’t directly related to development.
The result is a prd.md file that organizes all the required features into Epics: large, related chunks of work.
- Epic 1: Project Setup (Configure scrapers for Reddit & Hacker News, validate data flow).
- Epic 2: Content Analysis (Analyze and score posts based on the target profile).
- Epic 3: Automation (Connect to a dashboard and automate the entire pipeline).
Inside each epic are Stories—small, specific feature descriptions. But these are still just words. We don’t have the technical implementation details yet.
The Architect and the Stories
Following the BMAD diagram, the prd.md is passed to the Architect agent.
Bmade Agent Architect
The architect gets its hands dirty with the technical details. It produces a massive architecture.md file, containing detailed diagrams, technical descriptions for each story, and even a main pipeline workflow with estimated times for each step. The project structure is defined, leaving nothing to chance for the subsequent stages.
With the architecture defined, we return to the PM. The PM takes the architect’s document and its own PRD to generate the final, clean stories. Each story file is incredibly precise. It outlines the scenario to implement, the acceptance criteria to validate it, and a list of all the small tasks required. There’s also a blank space for developer notes, creating a historical record of the development process.
Why is this separation so effective? When the Developer agent starts work, it has a clear, focused mission. It checks the story it needs to implement and its technical description. Then, it consults the architecture.md index—a simple table of contents, not the whole document—and cherry-picks the specific chapters it needs.
This gives the agent all the necessary knowledge without overloading its context window, allowing it to develop with a large “memory” but no superfluous information. It’s an incredibly well-designed system.
The Final Result
I spent a few hours developing all the stories. Working with such well-defined, isolated contexts is a dream. When a bug occurs, it’s not the entire implementation that’s broken. The scope is tiny, making it easy for a human to pinpoint and fix the problem. You correct it and move on. Because the work was so well-decomposed, when you reach the end, the puzzle is complete. You launch it, and it works.
Let’s run the final pipeline.
npm run pipeline
The script starts, scraping 30 articles from Hacker News and 30 articles from several subreddits (programming, webdev, javascript, etc.). After a moment, the scraped articles are returned. Now, the script sends each article to the AI for judgment. Each one gets a score. Articles with low scores are discarded. The criteria are high, thanks to our brainstorming session.
A few minutes later, the process is finished. In my dashboard, I have the top four most impactful articles, translated into French for quick scanning.
- “Getting a Gemini Key: An Obstacle Course.” A developer’s frustrated testimony. This type of content about technical challenges resonates well with the target audience.
- “The Rust Language Officially Integrated into the Linux Kernel.” Big news, but perhaps a bit too technical for the main publication.
- “When a Small Open-Source Tool Suddenly Explodes.” I love this kind of story. It’s an interesting, human story behind the unexpected success of an open-source tool, showing the challenges creators face. A perfect fit.
- “How Google Maps Decides Who Survives in London’s Restaurant Scene.” Very interesting.
The complete pipeline works perfectly. And the code is beautiful. The project is well-structured, with perfectly typed source files and comprehensive tests. There are over 100 tests, making the application rock-solid. It worked on the first try.
Why BMAD is a Game-Changer
Could I have developed this project without this method? Absolutely. But I wouldn’t have had the deep brainstorming that allowed me to truly target what I wanted and take the tool far beyond my initial vague idea. The process of questioning what my community likes and why allowed me to define the AI’s prompt and the type of articles we’re looking for with precision.
The PM then broke this down beautifully, which made development an absolute breeze—clean, without hallucinations, respecting the desired architecture and code style. Everything is tested and prodigiously well-designed.
If I had done it without these tools, it might have been slightly faster. But the project would have been messier, less maintainable, and probably less effective because we wouldn’t have thought through the tool’s purpose deeply enough.
The BMAD method provides more than just a workflow; it teaches you the agile development process of a large company, with all the necessary roles in the right place. You learn the inputs and outputs of each role and their responsibilities. Seeing the process from end to end provides a deep understanding of how large-scale software is built. This is invaluable knowledge.
For someone who has worked as a freelancer for years, I’ve never been in a company with such well-defined roles. In startups, roles often blend. Seeing them clearly separated has been a revelation. It’s an inestimable value.
I hope you’ll give the BMAD method a try. It’s truly revolutionary.