AlignDev
Overview
AlignDev is a frontend conventions generator built for the AI coding era. It launched on June 3, 2026, and picked up 257 GitHub stars within its first four days — a signal that the problem it solves resonates with developers right now.
The tool is a Next.js 16.2 application with a 7-step visual wizard that walks teams through configuring their frontend stack: framework choice, UI library, state management, toolchain, directory structure, naming conventions, and design tokens. At the end, you get two artifacts: a full Markdown standards document for human consumption and a SKILL.md file that AI coding agents can parse directly.
The core problem AlignDev addresses is consistency drift in AI-assisted development. When a team has some developers using Claude Code, others on Cursor, and a few on GitHub Copilot, each agent interprets the codebase differently. One generates a components/ folder with flat files, another nests them by feature. One picks Zustand for state, another defaults to Redux Toolkit. Over a few weeks, the codebase starts looking like five different projects stitched together. AlignDev tries to fix this by creating a single source of truth that both humans and machines can reference.
Why it matters
The AI coding agent market has exploded in 2025-2026. Claude Code, Cursor, GitHub Copilot, Windsurf, Cline, Aider — the list keeps growing. According to GitHub’s own data, over 77% of developers have used or are using AI coding tools. But here’s the catch: most teams have zero guardrails for how those tools write code. The output quality depends entirely on what the agent infers from the existing codebase, and if the codebase is already inconsistent, the agents amplify the inconsistency.
This is a real problem. I’ve seen teams where one developer’s Cursor setup generates Tailwind classes while another’s Claude Code output uses CSS Modules. Same sprint, same feature, two different approaches. The code review becomes a style negotiation instead of a logic review.
AlignDev attacks this at the root. By generating a SKILL.md that sits in the repository root, every AI agent that supports custom instructions (and most now do) picks up the same conventions. The tool supports Next.js, React with Vite, Vue, Nuxt, and SvelteKit out of the box, with 49 UI style presets ranging from minimalism to cyberpunk. It’s not trying to be a linter or a formatter — it’s trying to be the contract between your team and your AI tools.
Key Features
7-Step Visual Wizard. The configuration flow covers core stack selection, UI library, state management, toolchain, directory structure, naming conventions, and design tokens. Each step shows live previews of your selections, so you see the output before committing. No YAML files to hand-edit, no JSON configs to debug — just click through the wizard and get your standards.
Multi-Framework Support. AlignDev works with Next.js, React (Vite), Vue, Nuxt, and SvelteKit. The options in each step adapt based on your framework choice. If you pick Vue, you won’t see React-specific state management options. If you pick Next.js, it includes App Router conventions and Server Component guidelines. This contextual adaptation prevents invalid configuration combinations.
49 UI Style Presets. From minimalism to glassmorphism to neumorphism to brutalism to aurora to cyberpunk — each preset includes ready-to-use Design Tokens for colors, spacing, typography, and shadows. You can customize any preset or start from scratch. The presets are opinionated enough to be useful but flexible enough to adapt to existing brand guidelines.
Live Design Tokens Preview. As you configure color depth (3 or 5 tiers), spacing scale (4px or 8px base), and typography scale (four ratio options), the preview updates in real time. Export as CSS Custom Properties, JavaScript objects, or Tailwind configuration. This eliminates the back-and-forth between design and engineering on token values.
WCAG Contrast Checking. Built into the configuration flow, not an afterthought. The tool calculates foreground/background contrast ratios automatically and flags combinations that fail WCAG AA or AAA standards. The implementation lives in lib/wcag-utils.ts and runs against every color combination in your token set.
SKILL.md Generation. The killer feature. The generated SKILL.md file is a structured document that AI coding agents can load as project context. It includes your framework choice, directory conventions, naming patterns, state management approach, UI component patterns, and design tokens. Drop it in your repo root and every agent that supports CLAUDE.md, .cursorrules, or similar custom instruction files picks it up.
Live npm Version Sync. The tool fetches current major versions for 30+ popular packages via its /api/versions endpoint. If the fetch fails, it falls back to a hardcoded FALLBACK_VERSIONS object. This ensures the generated standards reference actual package versions, not outdated ones from when the tool was last updated.
Use Cases
- Multi-agent teams where developers use different AI coding tools (Claude Code, Cursor, Copilot, Windsurf) and need consistent output across all of them
- Frontend teams onboarding new developers who use AI assistants — the standards document gives the agent the same context the team lead would give a human
- Open source projects that want to accept AI-generated contributions while maintaining codebase consistency
- Agencies and consultancies that work across multiple client codebases and need a quick way to generate project-specific conventions
- Solo developers who switch between AI tools and want consistent code style regardless of which agent they’re using today
Pros and Cons
Pros:
- Solves a real, growing problem — AI agent consistency in team settings — with a practical tool rather than abstract guidelines. The SKILL.md output is immediately usable by every major AI coding agent.
- The visual wizard approach is faster and more approachable than writing convention documents from scratch. Teams that would never sit down to write a style guide might actually use this.
- Built on a modern stack (Next.js 16.2, React 19.2, TypeScript 5.x, Tailwind v4, shadcn/ui) that most frontend teams already know. No exotic dependencies.
Cons:
- 257 stars and 1 fork as of early June 2026 means this is very early stage. The API surface and output format could change significantly. Not yet battle-tested in production environments.
- No license specified in the repository, which is a blocker for many enterprise teams. Open source without a clear license creates legal ambiguity.
- The 49 UI style presets are a nice demo but may not map cleanly to real-world design systems. Teams with established brand guidelines will need to customize heavily.
Getting Started
# Clone the repository
git clone https://github.com/razr001/align-dev.git
cd align-dev
# Install dependencies
npm install
# Start the development server
npm run devOpen http://localhost:3000 in your browser. The 7-step wizard walks you through:
- Core Stack — Select your framework (Next.js, React/Vite, Vue, Nuxt, SvelteKit)
- UI Library — Choose your component library and styling approach
- State Management — Pick your state solution (Zustand, Redux Toolkit, Jotai, Pinia, etc.)
- Toolchain — Configure linting, formatting, testing, and build tools
- Directory Structure — Define folder organization and file naming patterns
- Naming Conventions — Set component, utility, and type naming patterns
- Design Tokens — Configure colors, spacing, typography, and shadows
At the end, copy or download both the full standards document and the SKILL.md file. Place SKILL.md in your repository root.
Alternatives
ESLint + Prettier with shared configs — The traditional approach to code consistency. These tools catch syntax and formatting issues but don’t address architectural conventions like directory structure, state management patterns, or component organization. They also don’t generate context files for AI agents. Use them alongside AlignDev, not instead of it.
CLAUDE.md / .cursorrules templates — Several community-maintained template repositories exist for generating AI agent instruction files. These are more mature but require manual editing and don’t include a visual configuration flow. They’re better if you want full control over every line; AlignDev is better if you want a guided setup.
create-t3-stack / create-next-app with opinionated templates — Project scaffolding tools that enforce conventions at project creation time. They solve the initial consistency problem but don’t help when team conventions evolve or when multiple AI agents need to stay aligned on existing projects.
Verdict
AlignDev is the right tool at the right time, even if it’s early. The problem it solves — AI agents writing inconsistent code because they lack shared context — is going to get worse before it gets better. Every month brings a new AI coding tool, and every new tool has its own interpretation of “good code.” Teams that don’t establish explicit conventions will spend increasing time in code review negotiating style instead of logic.
The 257 stars in four days suggest developers feel this pain. The SKILL.md output is the most practical approach I’ve seen for bridging the gap between human conventions and machine-readable instructions. It’s not trying to replace ESLint or Prettier — it’s filling a gap those tools were never designed for.
That said, treat this as a starting point, not a finished product. The lack of a license is concerning, the preset library needs real-world validation, and the tool hasn’t been tested at scale. But if you’re a frontend team that’s adopted AI coding agents and you’re seeing style drift, AlignDev is worth 10 minutes of your time to try the wizard and see if the output fits your workflow.