Introduction
Developers today have access to incredibly powerful artificial intelligence (AI) tools that can boost productivity and allow them to write code faster. In this post, we’ll look at some of the top GenAI autocomplete tools that are revolutionizing the way developers work. These tools use large language models trained on huge amounts of code to suggest likely completions as you type, reducing repetitive typing and cutting development time.Tabnine
One of the most popular code completion tools is Tabnine. It uses a machine learning model trained on over 2 million GitHub files to provide intelligent code suggestions in over two dozen languages. Tabnine integrates seamlessly into most code editors like VS Code, Vim, and others. It can cut development time by providing likely variable names, function definitions, and entire code blocks with just a few keystrokes. Tabnine claims to save developers hours of work each day.
Google Codey
Google recently released Codey, an AI assistant for code generation. Codey simplifies writing code by providing context-aware suggestions and entire function definitions with detailed explanations. It supports multiple languages including Python, Java, Go, JavaScript, TypeScript, and more. Codey is currently available as a Visual Studio Code extension and uses Google’s advanced language models under the hood.
AWS Copilot
For developers building containerized applications on Amazon Web Services (AWS), Copilot provides smart suggestions based on the application context. Copilot understands the app’s architecture as well as AWS services to auto-complete deployment configurations and code boilerplates. This simplifies infrastructure provisioning and speeds up cloud development.
Microsoft OpenAI Codex
Microsoft integrates OpenAI’s Codex model into Visual Studio IntelliCode to suggest improvements and alternative approaches to code. IntelliCode provides hover explanations and rewrite suggestions to make code more efficient, concise, and secure. The integration of OpenAI takes its capabilities even further to autocomplete entire functions and classes with natural language comments.
Conclusion:
GenAI Code completion tools leverage the power of AI to boost developer productivity. Code suggestions reduce repetitive typing and let developers focus on solving problems rather than writing boilerplate code. Tabnine, Google Codey, AWS Copilot, and Microsoft IntelliCode integrate seamlessly into dev environments to cut coding time and accelerate development. Developers should try out these GenAI tools to enhance their workflows.
Zion Cloud Solutions can evaluate an organization’s specific requirements, recommend the best GenAI completion tool, and onboard the selected solution to maximize developer productivity gains.
