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Can Spec Kit Handle Large Projects? — My Honest Review

SpecKit

Spec Kit

GitHub SpecKit

specify CLI

AI coding tools

vibe coding

large codebase

enterprise app

Nuxt 2

Vue 2

legacy app modernization

SaaS development

Cloudflare

GitHub Copilot

software architecture

planning with AI

Constitution file

Plan Clarify Analyze

test generation

production app

developer experience

DX

AI assisted development

codebase scale

honest review

real world test

Nuxt legacy

specification driven development

AI workflow

Автор: Dwain Browne

Загружено: 2025-10-04

Просмотров: 4434

Описание: Join my Community (Vibe Code to Profit) - https://dwain.me/skool
Work With Me - https://dwain.me/youtube
Get LeadScore AI - https://getleadscore.ai
-------------------------------
Is GitHub’s SpecKit ready for real-world, production-size apps? In this long-form test, I run SpecKit against a 5,500-line Nuxt 2 front-end from my contractor SaaS (jobs, work orders, billing, PDFs, email, time tracking). I walk through Constitution → Specify → Plan → Clarify/Analyze → Implementation and show exactly where I got value—and where I got lost.

This isn’t a dunk on the team (much respect). It’s an honest look at large-codebase reality: legacy frameworks, mixed integrations, and a real GitHub issue board. If you’ve made SpecKit work on a big project, drop your playbook in the comments—I’ll try it.

00:00 Introduction: Can SPECT Work on Large Projects?
01:02 Background on the Application
02:05 Initial Struggles with Spec Kit
02:36 Setting Up the Experiment
06:19 Running Initial Commands
09:32 Analyzing the Results
14:47 Clarifying and Adjusting the Plan
20:55 Final Thoughts and Conclusion
---------------------------------------------------------------
If you need help with software automation, AI systems, or want to discuss scaling your business operations, I'm always excited to connect with fellow entrepreneurs and business owners!

Let's Connect - Book a free strategy session: https://dwain.me/meet

About Me
Hi, I'm Dwain Browne from Toronto, Canada - a software developer turned serial entrepreneur who's passionate about solving real business problems through technology. As a self-proclaimed computer geek, I've spent years identifying pain points in business operations and building scalable AI-powered solutions to eliminate them.

My Entrepreneurial Journey
My journey started with recognizing gaps in everyday business processes. This led me to build two companies that address critical needs:

SnapSuite - An all-in-one software platform designed specifically for contractors, focusing on business management, productivity optimization, and construction-specific tools that streamline operations from project planning to completion.

LeadScore AI - Born from 20+ years of sales frustrations and overcomplicated CRM systems, this AI-powered platform revolutionizes how businesses find, score, and follow up with leads - eliminating guesswork and busywork while integrating seamlessly with existing tools.

Today, I specialize in AI automation and building scalable productivity tools that help businesses work smarter, not harder. My focus is on creating systems that actually solve problems rather than add complexity.


🏗️ Contractors - All-in-one Software for Contractors: https://snapsuite.io

🎯 Sales Teams - Automate your sales pipeline: https://getleadscore.ai

📱 Follow me on your platform of choice:

LinkedIn:   / dwainbrowne  
Twitter:   / dwainbrowne  
Instagram:   / dwainbrowne  
TikTok:   / dwainbrowne  
YouTube: Subscribe for more entrepreneurship & AI insights!


Hashtags: #Entrepreneur #AI #Automation #SoftwareDevelopment #ai #softwaredevelopment #cloudflare #nuxt

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Can Spec Kit Handle Large Projects? — My Honest Review

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