Artificial Intelligence (AI) is transforming the world, and software development is no exception. AI is helping developers to create applications that are faster, smarter, and more efficient than ever before. In this article, we will discuss 7 AI-powered tools that are changing the game for developers.
1. TabNine
TabNine is an AI-powered code completion tool that uses deep learning to suggest code as developers type. It supports multiple programming languages and IDE integration support almost all code editors including VSCode, IntelliJ, Pycharm, Sublime and WebStorm.
Tabnine uses generative AI technology to predict and suggests your next lines of code based on context & syntax.
- Whole line code completions
- Full-function code completions
- Natural language to code
2. GitGuardian
GitGuardian is a security tool designed for developers and organizations to help them identify and prevent secrets, such as API keys, tokens, and other sensitive information from being exposed in their public repositories.
It uses machine learning algorithms to scan repositories and detect any secrets that may have been accidentally or intentionally committed. By alerting users to these vulnerabilities, GitGuardian helps prevent data breaches and ensures that sensitive information is protected.
3. Diffblue
Diffblue Cover helps developers deliver higher quality code, faster, accelerating your adoption of Shift Left and DevOps.
Software testing is the top bottleneck in DevOps, leading to regressions and ultimately slowing your development velocity. Eliminating the burden of writing and maintaining unit tests allows Java teams to shift left and innovate with confidence. With up to 50% more developer effort available, you can focus on building new features, increasing revenues and getting better products to market faster, instead of unproductive coding and risk management.
4. Snyk
Snyk is an AI-powered security tool that finds and automatically fix vulnerabilities in their code. It can scan code and identify security issues before they become a problem.
It supports your favorite languages and seamlessly integrates with your tools, pipelines, and workflows. Snyk also integrates with popular code repositories like GitHub, making it easy to use.
5. CodeScene
CodeScene is an AI-powered tool that helps developers improve code quality and maintainability. CodeScene identifies patterns in the evolution of your code. This gives you the power to predict its future and to find code that is prone to defects.
6. Hugging Face
Hugging Face is an AI-powered tool that provides developers with access to pre-trained language models. It supports a wide range of natural language processing (NLP) tasks, including text classification, question answering, and more. You can use this tool to build, train and deploy state of the art models more easily in a short time.
7. TensorBoard
TensorBoard is an AI-powered visualization tool that helps developers to understand and debug machine learning models. TensorBoard is TensorFlow’s visualization toolkit, enabling you to track metrics like loss and accuracy, visualize the model graph, view histograms of weights, biases, or other tensors as they change over time, and much more. It is an open source tool that is part of the TensorFlow ecosystem.
Conclusion
AI-powered tools are transforming the development landscape, making it easier for developers to create high-quality software in less time. The tools we have discussed in this article are just the tip of the iceberg, and we can expect to see even more exciting developments in the future. As AI technology continues to evolve, developers can look forward to a bright future of faster, smarter, and more efficient software development.