specs.md vs GitHub Spec Kit

Compare specs.md with GitHub’s Spec Kit toolkit

Overview

GitHub Spec Kit is a toolkit that provides agent prompts and 7 slash commands (/speckit.constitution, /speckit.specify, /speckit.plan, /speckit.tasks, /speckit.analyze, /speckit.implement, /speckit.clarify) for 15+ AI coding assistants including Claude Code, Cursor, GitHub Copilot, and Gemini CLI.

specs.md is a full methodology implementation with phase-based agents, Mob rituals, and DDD integration.

Available Now: specs.md (Simple Flow) provides Spec Kit-like simple flows for teams wanting a lighter entry point.

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Side-by-Side Comparison

Aspect	specs.md	Spec Kit
Type	Full methodology	Toolkit + Agent Prompts
Target	Complex systems requiring trade-offs	Small-medium projects
Approach	Structured AI-DLC phases with methodology	6-phase workflow with agent prompts
Structure	Intents → Units → Stories	Constitution → Specify → Plan → Tasks → Analyze → Implement
Agent Model	3 phase-based agents	Prompts for 15+ AI assistants
Design Integration	DDD default (extensible via bolt types)	Constitution file
Rituals	Mob Elaboration, Mob Construction	None
Memory	Memory Bank (persistent context)	Constitution file + .specify folder
Customization	Skills, templates, memory bank	Constitution file, scripts, templates
Learning Curve	Moderate	Low
VS Code Extension	Yes (visual dashboard)	No

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When to Choose Each

Choose specs.md (AI-DLC) if:

• You’re building complex systems with architectural trade-offs
• You need DDD integration and domain modeling
• You want Mob rituals for team alignment
• You have multiple teams needing coordination
• You want a proven AWS methodology
• You want a VS Code extension to track progress visually

Choose Spec Kit if:

• You want minimal workflow change
• You’re working on simpler projects
• You prefer command-driven interaction
• You want the lowest learning curve
• You want minimal ceremony

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Key Differences

1. Methodology vs Toolkit

Spec Kit is a toolkit—a set of commands that structure your prompts. It doesn’t prescribe how you work, just helps you write better specs.

specs.md is a full methodology with:

• Defined phases (Inception → Construction → Operations)
• Rituals (Mob Elaboration, Mob Construction)
• Role definitions (AI drives, human validates)
• Artifact specifications (Intents, Units, Bolts)

2. Conversation Direction

Spec Kit: Agent-driven via structured prompts

Human: /speckit.specify [high-level description]
AI: [generates detailed specification with user journeys]
AI: [asks clarifying questions via /speckit.clarify]
Human: [validates and refines]

specs.md: AI drives with Mob rituals

Human: [provides intent]
AI: "I've analyzed your intent. Here are 3 Units I propose.
     I have 5 clarifying questions before we proceed..."
Human: [validates, approves, or redirects in Mob session]

3. Design Integration

Spec Kit: Constitution file sets project principles and constraints. Technical plan phase handles architecture decisions.

specs.md: DDD is the default methodology. AI applies domain-driven design principles during decomposition, creating bounded contexts, aggregates, and domain models. Extensible via bolt types for BDD, TDD, or custom flows.

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AI-DLC’s Opinionated Approach

Unlike toolkit-based approaches, AI-DLC is an opinionated methodology with specific patterns:

Bolts, Not Sprints: Instead of 2-week sprints with variable scope, AI-DLC uses Bolts—focused execution units measured in hours or days. Each Bolt batches related stories together and executes them with full DDD construction steps.

DDD Baked In: Domain-Driven Design isn’t optional—it’s integral. Every Bolt follows DDD patterns: domain modeling, bounded contexts, aggregates, and entities. This creates consistent, high-quality designs regardless of who’s working.

Agent Drives, Human Validates: In AI-DLC, the AI proposes breakdown, trade-offs, and designs. Humans validate and approve. This reversed conversation direction keeps humans in control while leveraging AI’s synthesis capabilities.

Full Traceability: Artifacts created during construction show exactly what was built and how—from Intent to Unit to Story to Bolt execution.

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Migration Path

If you’re currently using Spec Kit and want more structure:

1. Start with Simple Flow

   specs.md (Simple Flow) provides Kiro-style Requirements → Design → Tasks workflow

2. Add Memory Bank

   Enable persistent context across sessions

3. Adopt Phase Structure

   Organize work into Inception, Construction, Operations

4. Graduate to Full AI-DLC

   When complexity demands it, adopt full Mob rituals and DDD integration

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Summary

For This Need	Use This
Quick spec generation	Spec Kit or specs.md (Simple Flow)
Minimal learning curve	Spec Kit
Complex system development	specs.md
Team coordination	specs.md
Enterprise/regulated environments	specs.md
DDD integration	specs.md

Bottom Line: Spec Kit is great for adding light structure. specs.md is for when you need a complete methodology for complex systems.

Can’t decide? Try specs.md (Simple Flow)—start simple, graduate when needed.