The Top 10 Automated Coding Tools to Boost your Productivity
Ambuj Agrawal
Keynote Speaker | AI Leader | Author of No Code AI | Award Winning Entrepreneur | Investor
Automated coding with generative AI has become a popular trend in the tech industry. With the help of AI, developers can now create complex and intricate code with ease.
This technology has revolutionized the way we approach coding and has opened up new possibilities for developers. This tool uses natural language processing to generate code based on the user's input. These tools have the ability to generate high-quality code that is both efficient and effective. This will make way for everyone to become AI developers.
Let's take a look at some of the top tools in the automated coding space that can help you automate your programming tasks.
2. AICromo?AI Programmer: AI Programmer (https://code.aicromo.com/) is a new code generation tool that can generate complete code from the given prompt. It further works on custom repository and can automatically test and deploy features to your existing application. A key benefit of this tool is that it enables programmers to navigate unfamiliar code repositories by describing their code in plain English. It is the only solution in the market that can understand your code repositories and generate complete code from scratch.
3. OpenAI Codex: OpenAI Codex (https://openai.com/blog/openai-codex) is an AI model developed by OpenAI that can translate natural language into code. It is built on OpenAI's GPT-3 family of large language models and is similar to OpenAI's ChatGPT chat-bot. With OpenAI Codex, programmers can use natural language prompts to generate code for virtually any purpose with varying levels of complexity. The model has been trained on billions of lines of code and is most capable in Python, but supports over a dozen coding languages. OpenAI Codex also powers the GitHub Copilot tool we have described earlier.?As of March 2023, the Codex models have been deprecated and are replaced by their Chat models.
4. Phi-1: Phi-1 (https://arxiv.org/pdf/2306.11644.pdf) is a lightweight code generation model developed by Microsoft. It is a Transformer-based model with just 1.3 billion parameters, which makes it substantially smaller than other models like OpenAI's Codex. Phi-1 is designed to generate Python code and has shown impressive performance on coding benchmarks such as HumanEval and MBPP, surpassing almost all open-source models despite its smaller size. However, it lacks domain-specific knowledge of larger models such as the ability to generate code with specific APIs.?
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5. Codacy: Codacy (https://www.codacy.com/) is not a code completion platform but a platform that helps coding teams to improve their performance and the quality of their code by automating and standardizing code reviews. The platform automatically alerts teams to vulnerabilities and critical issues and provides insights around how to best remediate them. Alerts can be integrated into your workflow via integrations with apps such as Slack. Codacy supports more than 40 coding languages and recently added a new product called "Pulse," which helps to measure and improve team performance.
6. TabNine: Tabnine (https://www.tabnine.com/) is an AI-powered code completion tool that can suggest code snippets and auto-complete code in response to natural language prompts. It uses deep learning to provide developers with accurate and relevant code suggestions. It is designed to help developers write code faster and more accurately. It supports several programming languages, including Python, JavaScript, and Java.
7. Replit Ghostwriter: Replit Ghostwriter (https://replit.com/site/ghostwriter) is an AI-powered assistant that automates repetitive coding tasks and detects and fixes errors. It includes an AI chat-bot, which you can ask to generate code, review your code for errors, and answer questions about unfamiliar coding databases. The model seeks to provide accurate, contextual answers to help improve the quality and speed of your workflow. It also suggests autocompletes as you code, helping speed up more repetitive coding tasks, and it can provide natural language code summaries. This tool is a collaborative software platform that enables programmers to work together on code from anywhere in the world. It supports all popular coding languages, including JavaScript and Python, and enables programmers to navigate unfamiliar coding languages by describing code in plain English.
8. Code-bay: Code-bay.io (https://plugins.jetbrains.com/plugin/15429-code-bay) is a code generation tool that allows programmers to quickly create web APIs based on the Swagger format with a user-friendly interface. It offers IDE plugins that allow you to download and include the automatically created code right into your projects. With Code-bay, you can build pathways, definitions, and replies without having to worry about syntax since everything is taken care of automatically. It creates all the routing, format validation, and definitions-related code for you so you can rapidly begin creating business rules.
9. Amazon CodeGuru: Amazon CodeGuru (https://aws.amazon.com/codeguru/) is an AI-powered code static application security testing (SAST) tool that combines machine learning (ML) and automated reasoning to identify vulnerabilities in your code, provide recommendations on how to fix the identified vulnerabilities and track the status of the vulnerabilities until closure. It analyzes code for issues such as performance, security, and correctness. CodeGuru supports several programming languages, including Java, Python, and Ruby.
10. Codota AI: Codota AI (https://plugins.jetbrains.com/plugin/7638-codota-ai-autocomplete-for-java-and-javascript) is an AI-powered code completion tool that uses machine learning to provide developers with accurate and relevant code suggestions. It recently got merged with Tabnine and is part of Tabnine product offering.
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