DEV Community: Taylor Lindores Reeves

Spec-Driven Development: The Future of AI Coding

Taylor Lindores Reeves — Tue, 20 Jan 2026 12:35:56 +0000

Our Approach

The engineering practices at Digital Speed have evolved over the years. But one thing that hasn't changed is our focus on writing high quality, maintainable code. And since the advent of AI and vibe coding, it's become far more important to ensure clean and maintainable code is being written.

What is vibe coding I hear you say? Below is a quote directly from Merriam Webster:

"Vibe coding is a recently-coined term for the practice of writing code, making web pages, or creating apps, by just telling an AI program what you want, and letting it create the product for you. In vibe coding the coder does not need to understand how or why the code works, and often will have to accept that a certain number of bugs and glitches will be present."

Vibe coding is inherently risky because, unless there's a significant amount of time invested in reviewing the AI-generated code, it's very likely to introduce issues. Not only that, but the code is harder to maintain and the transfer of knowledge is challenging at best. For those reasons, our team only used AI to write tedious refactors or edit inline code segments, as opposed to vibe coding full features. But times are changing.

This is where GitHub's Spec Kit comes in. This is an open-source tool that allows any developer to swap vibe coding with Spec-Driven Development (SDD). Now why is this better than vibe coding? It's because it forces everyone in a team to establish shared context before any implementation begins, which means AI agents and teams build exactly what was intended. By separating intent from code, we can avoid the chaos of assumptions and ensure every decision is explicit, reviewable, and easier to evolve. Dive into more detail about SDD in this blog post by Den Delimarsky, Principal Product Engineer at Microsoft's CoreAI division.

This fantastic tool is a game-changer. And it makes sense. We have learned a lot after building many products for our clients over the years here at Digital Speed. There's an industry best-practice behind every successful product launch, and it starts with creating detailed specification documents. This is what Spec Kit was designed to do.

Spec-Driven Development with Spec Kit is a feature-based approach to writing code, and it all starts with generating detailed documentation. The core concept is to produce enough accurate detail about intent so that the AI has the contextual foundation to build the feature correctly. The idea is to produce a set of files based on pre-determined commands. Those files are generated as markdown files. It's important they're generated in the following order as each prior step gives context to the next:

Constitution: defines the project constitutional guardrails. These are the non-negotiable principles that must be adhered to at all times.
Specification: build a specification document and requirements checklist based on your prompt.
Clarify: asks 3 to 5 clarification questions on the spec to help prevent ambiguities.
Plan: create a technical plan for the specification.
Tasks: break down the technical plan and the spec into a set of individual tasks.
Analyse: analyses the spec, plan, and task breakdown for any inconsistencies.
Checklist: create “unit tests for English” for your specification, enabling you to quickly find blind spots in your domain thinking.
Implement: implement the project based on all of the combined artefacts.

Clarify, Analyse and Checklist are intermediary commands we can run between each doc generation step which helps us to clarify, analyse and update the generated artefacts. This is outlined in the diagram referenced above.

Ultimately, you end up with a directory structure like this, alongside the rest of the files and directories for your project, in your codebase:

.specify
  memory
    constitution.md
  scripts
    bash
      check-prerequisites.sh
      common.sh
      create-new-feature.sh
      setup-plan.sh
      update-agent-context.sh
  templates
    agent-file-template.md
    checklist-template.md
    plan-template.md
    spec-template.md
    tasks-template.md
specs
  001-example-feature-one/
  002-example-feature-two/

And within the individual feature directories (which by the way, are also the name of the feature branch you are now working on - all executed because of Spec Kit) shown in the specs directory above, you'll have your generated files which typically look like this:

specs
  001-example-feature-one/
    checklists
      requirements.md
    contracts
      example.md
    data-model.md
    plan.md
    quickstart.md
    research.md
    spec.md
    tasks.md

The final step is to run the implement command and let the LLM go to work implementing the tasks created in the tasks.md file. But before that, we get our AI Agent of choice, we use Claude Code at Digital Speed, to use GitHub's CLI tool to create a Pull Request from our current branch 001-example-feature-one to main with a detailed description, to make sure that the effort is properly tracked and our entire team can view the spec documentation before implementation.

Once implemented, we're able to release this feature branch 001-example-feature-one onto our CI/CD pipeline to QA the results, and we've been having astounding results thus far.

If you are looking to bring spec-driven development to life in your own organisation, our engineering team can help you move from idea to production with clarity, pace and confidence. Reach out to us and explore how we can accelerate your next build or check out our services to find out more.

GPT-4.1 vs Claude 3.7 Sonnet

Taylor Lindores Reeves — Tue, 15 Apr 2025 23:24:41 +0000

In this detailed showdown, we put two of the most advanced AI coding models of 2025 head-to-head by challenging them to build a real-world image compression app using NextJS 15, Tailwind CSS, and Bun runtime inside Cursor - The AI Code Editor.

GPT-4.1 comes with incredible specs - 1 million tokens of context, superior SWE bench accuracy, and unmatched latency. Claude Sonnet 3.7 also boasts impressive capabilities, making this a fascinating competition for developers looking to choose the best AI assistant for their workflow.

In this video, you'll see:

✅ Step-by-step AI-driven development in Cursor text editor.
✅ Real-time debugging and problem-solving capabilities of both AI models.
✅ Surprising outcomes and critical differences in coding efficiency and quality.
✅ A clear demonstration of practical AI capabilities to boost your productivity.

Whether you're a professional developer, AI enthusiast, or someone interested in the latest tech trends, this video provides valuable insights into the strengths and weaknesses of GPT-4.1 and Claude Sonnet 3.7.

Watch the video here: https://www.youtube.com/watch?v=jVrxYwrRpaI

7 Claude Code Secrets You Can't Afford to Miss

Taylor Lindores Reeves — Mon, 31 Mar 2025 15:52:22 +0000

Unlock the full potential of Claude Code and transform the way you build and refactor your projects with our comprehensive guide. This blog post walks you through setting up Claude Code on your machine and explores seven must-know features that will streamline your workflow and enhance your development process.

🚀 Watch the full tutorial here:

Claude Code Mastery: Transform Your Development Workflow

What You’ll Learn

This guide provides a detailed exploration of key features in Claude Code, designed to boost your productivity and ensure you can build like a pro.

✅ 1. Installing the Bun Runtime

We'll start by setting up Claude Code on your machine with the Bun runtime, preferred for its speed and efficiency over NPM.

✅ 2. Exploring Claude Code Features

Auto Accept Mode: Simplify your workflow with automatic feature implementation without manual approval.
Memory Management: Efficiently store reusable code snippets and project-specific rules for quicker recall.
Web Content Fetch: Seamlessly integrate documentation from the web into your project context.
Custom Slash Commands: Tailor your command list to fit your workflow and project needs.
File Path Auto Completion: Navigate directories effortlessly using the tab key for instant access.
MCP Server Connection: Synchronise projects with multiple server connections for enhanced collaboration.
Extended Thinking: Utilise advanced thinking phrases to have Claude Code propose plans for complex tasks.

Why Use Claude Code?

Claude Code offers a robust set of features that allow you to manage coding projects efficiently:

✔ Streamline workflows with automation and advanced memory management.

✔ Integrate external documentation seamlessly and customize commands to suit your workflow.

✔ Empower your project planning with MCP server connections and extended thinking modules.

By leveraging these powerful tools, you can focus on coding while Claude Code handles repetitive and complex tasks for you.

Get Started Now!

Don’t wait to experience the transformative power of Claude Code. Dive into this hands-on tutorial and watch your productivity skyrocket.

🎥 Watch the tutorial now:

➡️ Claude Code Mastery: Transform Your Development Workflow

💬 Have questions or need further assistance? Drop a comment on the video or join the discussion below!

Whether you're seasoned in development or new to Claude Code, these insights will help you use the tool to its fullest potential, making your coding sessions more productive and less stressful.

Build a Car Dealer CMS with Next.js 15 and React 19 – Full Course

Taylor Lindores Reeves — Tue, 04 Mar 2025 23:50:53 +0000

Are you looking to level up your Next.js and React skills by building a real-world project? In this tutorial, we’ll be creating a Car Dealer CMS using Next.js 15 and React 19. This is Part 1 of a three-part full course, where we’ll cover everything from project setup to developing a fully functional content management system.

🚀 Watch the full tutorial here:

NextJS Full Course: Build a Car Dealer CMS (Part 1/3)

What You’ll Learn in This Course

This project-based tutorial takes you step by step through building a robust CMS for managing a car dealership.

✅ 1. Setting Up the Project

Initializing a Next.js 15 project
Understanding the new App Router
Configuring TypeScript and ESLint for best practices

✅ 2. Creating the CMS Structure

Designing a database schema for car listings
Setting up API routes for managing inventory
Implementing server actions in Next.js

✅ 3. Frontend Development with React 19

Building reusable UI components
Styling with Tailwind CSS and Shadcn UI
Implementing dynamic routing for individual car pages

✅ 4. Backend & Data Handling

Using Prisma for database interactions
Creating CRUD operations for car listings
Setting up authentication and authorization

✅ 5. Deployment & Next Steps

How to deploy your CMS to production
Preparing for Part 2 of the course

Why Next.js 15 & React 19?

Next.js 15 brings powerful new features, including:

✔ Enhanced App Router – More flexibility in routing and layouts

✔ Server Components – Improved performance and reduced client-side JavaScript

✔ Optimized Data Fetching – Seamless API integrations

Meanwhile, React 19 introduces:

🔥 React Compiler – Auto-optimizations for better performance

🔥 New Hooks & Suspense Improvements – Smoother UI updates

By combining these cutting-edge technologies, we can build a high-performance, scalable, and modern CMS that meets real-world business needs.

Get Started Now!

Don’t just read about Next.js and React—build something real. This Car Dealer CMS project is the perfect hands-on experience to deepen your skills.

🎥 Watch the tutorial now:

➡️ NextJS Full Course: Build a Car Dealer CMS (Part 1/3)

💬 Have questions? Drop a comment on the video or discuss below!

[Boost]

Taylor Lindores Reeves — Tue, 04 Mar 2025 23:43:05 +0000