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Plan First, Build Better

“Plan first, act second. Every successful software project starts with a plan.”
SpecFlow is an open methodology for AI-assisted software development. Where tools like Cursor, Copilot, or Claude Code accelerate what gets built, SpecFlow ensures you stay intentional about why and how it gets built. Think of it as a blueprint for human-AI collaboration. Instead of vibe-driven development that leads to chaos, SpecFlow brings structure, clarity, and predictable results.

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Why SpecFlow?

Unstructured AI development often leads to:
  • Misaligned outputs that don’t reflect your intent
  • Wasted time on repeated, unfocused iterations
  • Fragmented results across different tools and sessions
  • Lost context between different development phases when reasoning isn’t documented
SpecFlow solves these problems by giving you a simple, repeatable process.

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The SpecFlow Process

SpecFlow provides a clear five-step workflow: Intent → Roadmap → Tasks → Execute → Refine
  1. Intent: Capture the why. Define goals, tradeoffs, and constraints before generating code.
  2. Roadmap: Break down the problem into phases or milestones that map to features or modules.
  3. Tasks: Translate each roadmap step into concrete AI coding tasks with clear prompts.
  4. Execute: Use your AI coding tool of choice (Cursor, Copilot, Claude Code, BearClaude) to implement. Capture the reasoning with SpecStory.
  5. Refine: Test, review, and iterate. Update decisions and document learnings so your intent evolves with the code.

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Example: Building with SpecFlow

Let’s say you’re adding authentication to a web app:
  • Intent: “We need secure, passwordless login with email links.”
  • Roadmap: Identify flows → choose library → integrate backend → connect frontend → test edge cases.
  • Tasks:
    • Task 1: Prompt AI to draft backend auth logic with library “X”.
    • Task 2: Generate React login component.
    • Task 3: Write integration tests for login edge cases.
  • Execute: Run tasks in Cursor or Copilot, reasoning saved by SpecStory.
  • Refine: Debug failures, iterate, update the roadmap if library choice changes.
This results in not just working code, but a documented trail of decisions that your team can reuse. Ready to Transform Your Development Process? Learn the Complete SpecFlow Method → Discover the full methodology, see real-world examples, and master the art of structured AI-powered development.

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Learn & Contribute

  • 📖 Read out whitepaper: How AI shifts the bottleneck from implementation speed to specification clarity. Beyond Code-Centric Development →
  • 🤝 Contribute examples on GitHub: Have your own SpecFlow success stories? We welcome contributions! Open a PR to share your examples and help the community learn from your experience. SpecFlow on GitHub →
  • 🧭 See it in action: Try running your next feature build with SpecFlow + SpecStory, and compare the outcome with your usual workflow.
SpecFlow is open. Use it, adapt it, and share your own playbook for AI-powered software development.