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Refact is an AI-powered coding assistant designed to streamline the development workflow for software engineers. It offers features such as code completion, code refactoring, AI-driven chat for real-time assistance, and code analysis across different languages. Refact is compatible with major IDEs like JetBrains and VS Code, focusing on enhancing efficiency and code quality for developers. The tool respects privacy by providing options to restrict access to files or projects to protect confidential code.
Refact was created by a team of individuals with diverse roles, including ML engineers Dimitry Ageev, Kirill Starkov, and Valeriy Verezhynkyi, data engineer Maksym Nevinchanyy, DevOps genius Marc McIntosh, software engineer Ilya Yarmalkevich, and business developer Katia Bystrakova. The company is based in Barcelona and has a team with various expertise such as marketing, growth, and financial advisement. Refact offers customizable AI coding assistance aimed at improving developer productivity and code quality, with options for free, pro, and enterprise plans tailored to different needs.
To use Refact effectively, follow these steps:
Fine-Tune the Model: Train the AI on files with good coding practices to improve suggestions' relevance, leading to better code completion ranging from 30% to 45%.
Secure Code: Deploy Refact on-premise for data security, where telemetry stays within your control, ensuring privacy and transparency in code processing.
Measure Productivity: Track the impact of Refact on code production per team member for productivity assessment, allowing quantifiable efficiency gains.
Priority Support: Benefit from continuous assistance from engineers, starting from setup to ongoing fine-tuning processes.
Utilize Features:
Ensure Code Privacy: Refact offers options to restrict access to sensitive files, maintaining the confidentiality of your codebase.
Compatibility: Refact integrates smoothly with major IDEs like JetBrains and VS Code, catering to a wide range of programming languages and frameworks for seamless adoption.
By following these steps and leveraging Refact's features, developers can streamline their workflow, enhance productivity, and prioritize code quality efficiently.
I appreciate the idea of having an AI-powered coding assistant, especially the code completion feature. It can save time when working on repetitive coding tasks.
Unfortunately, I found the AI's code suggestions to be inaccurate at times, which led to frustration and additional debugging. It's not as reliable as I hoped.
Refact tries to help with efficiency in coding, but I often end up double-checking its suggestions. It could be more beneficial if the accuracy improved.
I really like the real-time support feature. It allows me to ask questions and get immediate assistance while coding, which is very helpful during complex projects.
The interface could use some improvements, as it sometimes feels cluttered, making it hard to navigate quickly.
Refact helps me refactor code more efficiently. This not only improves my workflow but also ensures that my code remains clean and maintainable.
The code analysis feature is quite good and helps identify potential issues in my code before they become major problems.
The code completion sometimes suggests outdated methods or syntax that isn't relevant to the latest programming standards.
Refact helps in speeding up the coding process, but I have to be cautious about the suggestions it makes. It's beneficial, but not always reliable.