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In the ever-evolving landscape of software development, automation tools that increase efficiency have always been a golden grail. And with the rise of powerful AI models like ChatGPT, Llama 2, and Vicuna-13b, the dream of instant code generation and form creation is close to reality. CodeDroidAI is desktop client for Delphi and C++Builder developers that allows you to generate Object Pascal and C++ code using large language models.
Table of Contents
What is a large language model (LLM)?
A Large Language Model (LLM) is a type of artificial intelligence (AI) model designed to understand, generate, and manipulate human language. Trained on vast amounts of text data, LLMs can generate coherent, contextually relevant sentences, and offer answers or solutions based on the patterns they’ve recognized from their training data. Their vast size, often comprising billions of parameters, allows them to store an immense amount of information and linguistic nuances. This capability makes LLMs valuable for a range of applications including natural language processing, chatbots, content generation, and more. Models like OpenAI’s GPT (Generative Pre-trained Transformer) series are prime examples of LLMs that have showcased the potential and capabilities of these advanced AI systems.
What is CodeDroidAI?
CodeDroidAI is not just another code generation tool. It’s a powerful UI that uses leading Language Learning Models (LLMs) to seamlessly generate and validate code for Delphi. Let’s dive into its features:
- Comprehensive Code Generation:
- Generate Procedures
- Generate both FMX and VCL Forms, with an added bonus to convert VCL Forms to FMX
- Code optimization and inline assembly transformation for Delphi
- Convert between multiple coding languages, including Delphi to Borland C++ and FPC to Delphi
- Code Quality Assurance:
- Compile and validate the Delphi code right from the interface and send error reports directly back to the language model.
- Code Analysis for better understanding and insights.
- Comment Code to enhance readability.
- Upgrade Delphi ANSI code to Unicode ensuring modern compatibility.
- Near Universal Support:
- From gpt-3.5-turbo-16k to the fastervicuna_13b, CodeDroidAI boasts support for a diverse range of models, ensuring developers can always utilize the best available AI for their tasks. Some of the language models included:
- gpt-3.5-turbo-16k
- gpt-4
- vicuna-13b
- gpt4all
- falcon-40b-instruct
- llama70b-v2-chat
- llama13b-v2-chat
- freewilly2
- fastervicuna_13b
- and more!
- At the moment the models offered by OpenAI such as gpt-3.5-turbo and gpt-4 offer the best coding generation but open models are catching up fast. The gpt-3.5-turbo-16k and gpt-4-32k models offer the ability to take a larger input and output than just the straight gpt-3.5-turbo.
- From gpt-3.5-turbo-16k to the fastervicuna_13b, CodeDroidAI boasts support for a diverse range of models, ensuring developers can always utilize the best available AI for their tasks. Some of the language models included:
- Platform Flexibility:
- Thanks to Delphi’s FireMonkey framework, CodeDroidAI offers a cross-platform experience, running efficiently on Windows, macOS, and Linux. Only Windows would allow for code validation because it requires msbuild.
- Integrated REST API Functionality:
- Featuring integrations with renowned platforms like OpenAI.com (ChatGPT) and Replicate.com, CodeDroidAI provides seamless source code generation capabilities. To make the most of CodeDroidAI’s features, developers need to sign up for API keys for functionality access. Ensure to keep this in mind before deep-diving into the world of automated AI-driven code generation.
- For those keen on data security, Replicate models even offer the option to run locally via Docker.
- Built-In Template System:
- Add more prompt templates for your code generation with a versatile template system, allowing for greater customizability and adaptability.
How can I run a language model locally on-prem to keep sensitive code input secure?
The language models hosted on Replicate.com can also be run locally. Here is an example of how to run Vicuna 13b locally on a machine with a GPU. The CodeDroidAI client could then query the Docker instance instead of Replicate.com directly.
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docker run -d -p 5000:5000 --gpus=all r8.im/replicate/vicuna-13b@sha256:6282abe6a492de4145d7bb601023762212f9ddbbe78278bd6771c8b3b2f2a13b curl http://localhost:5000/predictions -X POST -H "Content-Type: application/json" -d '{"input": { "prompt": "...", "max_length": "...", "temperature": "...", "top_p": "...", "repetition_penalty": "...", "seed": "...", "debug": "..." }}' |
Why Should Developers Consider CodeDroidAI?
The beauty of CodeDroidAI lies in its ability to combine AI prowess with practical coding demands. Whether you’re a seasoned Delphi developer looking to convert legacy ANSI code or someone looking for a quick way to generate a functional form, CodeDroidAI can be the tool to simplify and amplify your coding journey. You can customize and build your own prompts using the templating system to suit your needs.
Ready to get started incorporating AI into your coding pipeline?
AI in software development is no longer a fancy futuristic concept – it’s here, and with tools like CodeDroidAI, it’s reshaping how we perceive and execute coding tasks. As AI continues to mature, embracing tools that leverage its capabilities is not just recommended, it’s essential.
Download the CodeDroidAI binary for Windows.
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This tool is perfect.
I can suggest use same functionalities inside the IDE using a super plugin in this regard.
I think this plugin deserves a blogpost too, certainly!
https://github.com/AliDehbansiahkarbon/ChatGPTWizard
Excellent, thanks for the tip Ali. Your ChatGPTWizard looks great too!