delphicleancode

delphicleancode / delphi-spec-kit

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An opinionated ecosystem of rules, skills, and steerings to elevate Delphi development to a state-of-the-art level with Artificial Intelligence.

inovefast.com.br claude-ai claude-code claude-skills delphi dmvcframework
12
0
100% credibility
Found Mar 27, 2026 at 12 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
AI Summary

A collection of guidelines, rules, and examples designed to teach AI coding tools how to generate clean, secure, and well-architected Delphi code.

How It Works

1
🕵️ Discover the Kit

You find this helpful kit while searching for ways to make AI assistants better at writing Delphi code.

2
📥 Get the Kit

Download the simple set of guide files to your computer.

3
📂 Add to Your Project

Copy the guide files into the main folder of your own Delphi project.

4
✨ AI Picks Up the Rules

Open your project with your favorite AI coding helper, and it instantly learns the best ways to write clean code.

5
💻 Create or Fix Code

Ask the AI to generate new code or improve what you have, and it follows smart rules for safety and structure.

🎉 Enjoy Perfect Code

You now get professional-quality Delphi code every time, with no memory issues, easy tests, and great organization.

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Star Growth

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AI-Generated Review

What is delphi-spec-kit?

This GitHub repo delivers an opinionated ecosystem of rules, skills, and steerings to elevate Delphi development to state-of-the-art levels with artificial intelligence. It equips AI tools like GitHub Copilot, Cursor, Claude, Gemini, and Kiro to generate clean, secure, testable Object Pascal code following SOLID principles, DDD patterns, zero-leak memory management, and TDD with DUnitX. Developers drop the kit into their project root for instant AI guidance on frameworks like Horse for REST APIs, Dext for async services, FireDAC databases, and more—no setup hassles.

Why is it gaining traction?

Unlike generic AI prompts, this spec kit acts as opinionated blueprints tailored for Delphi's quirks, blocking code smells like business logic in button handlers or database coupling in tests. Users notice tighter layers, consistent naming (A-params, F-fields), and framework-specific patterns right away, slashing debugging time on AI output. Its modular design supports quick extensions for new libraries, making it a growing hub for Delphi AI workflows.

Who should use this?

Delphi devs building REST APIs with Horse or DMVC, enterprise apps with ACBr or Intraweb, or database services via FireDAC on Firebird, PostgreSQL, or MySQL. Ideal for backend teams using AI assistants who want isolated tests, dependency injection, and threading safety without manual fixes. Skip if you're not integrating AI into daily coding.

Verdict

With 12 stars and a 1.0% credibility score, it's early-stage and niche-specific, backed by solid docs and examples but lacking broad adoption or tests. Worth cloning for Delphi AI users—quick wins outweigh the immaturity if you're tired of sloppy Copilot suggestions.

(198 words)

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