Artificial intelligence has become an essential auxiliary tool in software development. From code generating and debugging to testing and language processing, AI-powered tools assist developers every step of the way. Here, we will discuss some of the top developer-approved AI coding tools that can take on any software project.
1. GitHub Copilot
GitHub Copilot supports multiple programming languages, namely Python, C++, JavaScript, TypeScript, etc. Listed by many as number one, GitHub Copilot can help you generate, autocomplete, and improve your code. It identifies bad practices and gives suggestions. GitHub Copilot is trained on vast data from public repositories, so it can adjust its tips based on the specifics of your project, including language and plug-ins.
2. Replit
Replit offers assistance for more than twenty programming languages, with HTML, CSS, Kotlin, Haskell, and Golang among them. Its distinctive feature is an online editor that allows one to code in collaboration with other developers. In addition to autocompleting your code, Replit spots potential bugs and mistakes, suggesting solutions in real time. Replit is most helpful in deployment as it provides the necessary infrastructure for your projects.
3. Tabnine
Tabnine relies on large language models (LLMs) and open-source code to train. Java, Python, JavaScript, and Ruby are some of the languages it supports. It has standard features, like suggesting and autocompleting the code, as well as detecting errors in real time. Tabnine’s special offer is AI models that can meet your specific needs. After allowing them to learn using your data, you will get custom AI-powered coding models just for your project.
4. Sourcegraph
Sourcegraph, Sourcegraph Cody specifically, is a generative AI platform. Sourcegraph is a great support in managing large codebases. It allows you to identify vulnerabilities and errors in your code. With the advanced Code Search tool, Sourcegraph simplifies the navigation of your project. Their chat will help you with any software-related questions. You can also test units automatically and receive reports on their performance.
5. OpenAI Codex
OpenAI Codex is mostly tailored for Python but supports some other languages, too. OpenAI Codex is proficient in NLP, which enables it to turn natural language queries into code and generate technical documentation. It also translates between programming languages. OpenAI Codex can refactor and lint code and, like Tabnine, offers trainable AI models to customize your code.
Conclusion
This list is just part of AI-powered development tools. However, they all share the advantages indispensable for programming – acceleration and error elimination. AI coding tools speed up the creation of boilerplate code and routine functions, automate testing, and optimize all stages of software development. With these AI tools, you will save time and get high-performing errorless code.
