In the dynamic landscape of technology, a wave of innovative AI-based tools is something to really pay attention to. Today’s state of AI is ready to make the work of professionals worldwide more efficient and fulfilling, taking the most of repetitive tasks if only implemented properly. But how to find the right tools and use them wisely?
Look through the list of some of the most important tools and get the full list of useful trusty tools for your Tech Team (testing, code writing, documentation, and others) in the free copy of the Future of Work Report 2024.
Amazon Code Whisperer
Enables developers to generate code in real-time based on prompts, while offering auto-completions at the same time. Trained on an extensive dataset of open-source code, the tool can provide suggestions ranging from code snippets to entire functions based on comments as well as existing code, and in many languages. Furthermore, it possesses the capability to scan code for the identification and definition of potential security issues. What’s also important, is its compatibility with multiple popular IDEs such as JetBrains, Visual Studio Code, AWS Cloud9, and other applications.
Useful in: Code writing
GhostWriter (by Replit)
Useful in: Code writing, Code review/testing, Code editors
What’s unique about this tool is that it provides an overview of the code’s metrics, helping to understand its complexity, maintainability, and technical debt. Codiga is capable of working everywhere, from IDE to CI/CD, and sharing as well as using collections of code from the Hub. It can not only help with regular tasks for AI tools such as code suggestions, as it helps with providing code snippets, but also assists with instantaneous code analysis and auto-fixing vulnerable code issues. It covers all common threats and software vulnerabilities. Codiga also provides the ability of custom analysis rules.
Useful in: Code writing, Code review/testing, Metrics
This is an AI-driven documentation tool designed to streamline the documentation process for developers, product managers, and support teams. It operates in real-time, offering automatic documentation generation, code refactoring, code completion, error detection, and correction as well as version control.
The platform provides ready-to-use templates, adaptable layouts, and an analysis feature to optimize documentation for enhanced user engagement.
Useful in: Code documentation
The most discussed tool that still has a lot to offer. In IT specialists’ work it can agilely assist in the coding process. By using machine learning algorithms to analyse and understand code snippets, Chat GPT can generate accurate and efficient code solutions. It can also help in automating unit tests, generating code snippets based on a conversational prompt, as well as being able to identify areas where sensitive data is handled.
Along with its predecessor, OpenAI Codex parses natural language and generates code in response, which may be useful companions to the developer’s work. Trained on text, Codex prepares a block of code that satisfies comment prompts given by the user.
Useful in: Code writing, code review, learning, content creation,