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Beyond Vibe Coding: A Guide to Spec Kit, BMAD, and Kiro

Michael Cooper
5 min

Beyond Vibe Coding: A Guide to Spec Kit, BMAD, and Kiro

We've all done it — that exhilarating, chaotic 2 AM loop of prompt → code → run → repeat. It’s “vibe coding”: programming by conversational instinct. It’s fast, creative, and, as of this year, so mainstream that “vibe coding” was named Collins Dictionary’s 2025 Word of the Year.

But the vibe has a dark side: the hangover.

The downside is brittle, inconsistent, insecure code that works until it doesn’t. It produces vulnerability-as-a-service, unmaintainable “black box” features, and total loss of traceability. We gained speed, but we sacrificed discipline.

The industry’s antidote is Spec-Driven Development (SDD), a shift from:

Prompt → Code to Prompt → Requirements → Design → Tasks → Code

This restores reliability, sanity, and intent to AI-assisted development.

But “Spec-Driven” isn’t one thing. The market has already split into three competing philosophies:

• GitHub Spec Kit: The Disciplined Toolkit built around a project constitution • BMAD-METHOD: The Specialized AI Team powered by expansion packs • Kiro: The Proactive AI-Native IDE driven by automated agent hooks

Choosing the right one is more than picking a tool — it’s choosing the future of your craft. Here’s how they compare.

1. GitHub Spec Kit: The “Disciplined Toolkit”

Philosophy: “Bring your own AI — but make it follow the rules.”

Spec Kit exists to fix the #1 complaint about vibe coding: “The AI is smart, but it lacks discipline.”

It isn’t an AI. It’s a lightweight CLI and template system that forces any AI agent (Claude Code, Gemini, Copilot, etc.) to behave like a structured, consistent engineer.

** Killer Feature: constitution.md**

This file defines your non-negotiable project principles — your stack, patterns, security rules, testing standards, and architectural constraints. Every AI action is governed by the constitution.

Example rules include:

• Tech Stack: React 18, TypeScript, Tailwind • Testing: Mandatory Jest + RTL tests • Patterns: Zustand only for state; no Redux or Context • Security: Auth required on all endpoints; parameterized queries only

** Workflow: A Rigid 4-Step Process**

** Developer Investment:** Low friction, consistent gains

** Best For:** Pragmatic developers who want discipline without changing tools

2. BMAD-METHOD: The “Specialized AI Team”

Philosophy: “Don’t just guide an AI — orchestrate a whole AI team.”

BMAD is not a rules engine. It is a multi-agent orchestration framework — essentially an autonomous software team in a box. It includes agents such as:

• Analyst

• Architect

• Project Manager

• Developer

• QA Engineer

These agents collaborate through structured, version-controlled files.

Killer Feature: Expansion Packs

BMAD is modular. Expansion Packs install new, domain-specific agents such as:

• Level Designer and Narrative Designer (game development)

• Keyword Analyst and Content Strategist (SEO)

• UX Writer and Branding Advisor (marketing)

This makes BMAD the closest thing to “Agent-as-Code.”

Workflow: File-Based Agent Handoffs

  • You create story.md (your PRD) Analyst updates it with research Architect produces arch.md PM produces tasks.md Developer and QA implement tasks against these specs This structure solves context-loss — the Achilles heel of most multi-agent systems.

Developer Investment: High setup cost, massive long-term payoff

Best For: Enterprise architects running complex, multi-domain projects

3. Kiro: The “Proactive AI-Native IDE”

Philosophy: “Your editor shouldn’t just have an AI — your editor should be the AI.”

Kiro (from Amazon) is a fork of VS Code built around deep AI integration. It supports:

• Vibe Mode (fast conversational coding)

• Spec Mode (requirements, design, tasks)

It is the direct evolution of terminal-based AI coding tools like Claude Code — but fully visual and proactive.

Killer Feature: Agent Hooks

Agent Hooks automatically run logic in response to your actions:

• On save → run tests and scan for code smells

• After commit → auto-update documentation

• On startup → scan dependencies for vulnerabilities

This is proactive automation, not reactive prompting.

Developer Investment: Highest friction because it requires switching IDEs

Best For: AI power-users who want a fully integrated environment that automates testing, docs, refactors, and more

Comparison: Rules vs. Teams vs. IDEs

GitHub Spec Kit

• Analogy: Disciplinarian / Project Manager

• Philosophy: Constrain a single agent

• Killer Feature: constitution.md

• Model: Bring-your-own AI

• Workflow: 4-phase, human-in-loop

• Investment: Low

BMAD-METHOD

• Analogy: Specialized agency

• Philosophy: Orchestrate many agents

• Killer Feature: Expansion Packs

• Model: Bring-your-own AI

• Workflow: File-based handoffs

• Investment: High (team-level)

Kiro

• Analogy: Proactive junior developer

• Philosophy: Embed a proactive agent

• Killer Feature: Agent Hooks

• Model: Integrated (Amazon)

• Workflow: Toggle between Spec Mode and Vibe Mode

• Investment: High (IDE switch)

Conclusion: Choosing Your Spec-Driven Future

Vibe coding is fast — but unstable. Spec-Driven Development is the next evolution for teams that value reliability, security, and maintainability.

Choose GitHub Spec Kit if you want discipline and consistency with minimal friction.

Choose BMAD-METHOD if you need multi-agent specialization and end-to-end lifecycle automation.

Choose Kiro if you want an all-in-one AI-native IDE that proactively manages your workflow.

The Future: OpenSpec

Right now, each system is siloed:

• constitution.md doesn’t work in BMAD

• BMAD’s agent files don’t inform Kiro

• Kiro’s Agent Hooks are locked inside its IDE

The next frontier must be an open, vendor-neutral “Spec Standard” — an OpenSpec — that makes software intent as portable as source code.

About the Author

Michael Cooper

Co-Host

Seasoned strategist who empowers technical founders to build, scale, and win in competitive markets. Specializes in strategic partnerships, ecosystem development, and go-to-market strategy for cloud and AI platforms. Former Global Sales leader for Microsoft Cloud and author. Works at Omnistrate, based in the United States.

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