AI is rapidly becoming commonplace in software development. According to recent insights from Stack Overflow, 76% of developers are using or planning to use AI coding assistants for work.
However, not all IT companies are enthusiastic about widely implementing AI tools into their workflow. We totally understand this hesitation: there are many data safety concerns about using AI (a reputation largely due to ChatGPT), or AI being ineffective with large codebases, or simply difficult to integrate.
Not all AI tools are created equal. This article explores three critical features that an enterprise-grade AI coding assistant must have—and how Refact.ai stands out as the advanced AI coding assistant for teams.
For software companies working with FinTech, HealthTech, cybersecurity sectors, or handling any private information, data protection isn’t just a priority—it’s a mandate. The use of AI in development often raises red flags due to the potential exposure of sensitive information.
The solution? On-premise deployment of an AI coding assistant. This approach ensures that your proprietary data remains yours, and no telemetry ever leaves your environment.
Prioritizing your security, Refact.ai offers an AI coding assistant that can be deployed on a private cloud or local server—means, on-premise. This makes it ideal for high-stakes projects where data protection is paramount.
While using ChatGPT or other tools may pose security problems and data leakage for your company, Refact.ai eliminates the risk of:
So, you can be sure: no one except your company will have access to your code and data. And yes, we will have no access to them either. This is why on-premise deployment is considered so safe!
Refact.ai is a secure AI coding assistant for companies. Using it, you can get code delivered faster without worrying about your client’s sensitive info getting out. It’s like having a really smart assistant who’s also great at keeping secrets!
As a bonus, our general vision of data security includes training our models on permissively licensed code.
One big problem with many AI coding tools is that they often write code that doesn’t quite fit your project. It’s like asking for help with a puzzle, but getting pieces from the wrong box.
This problem of generic or just incorrect suggestions with AI is particularly noticeable in enterprise software development due to several factors:
In all these cases, many AI coding assistants fall short. But not Refact.ai.
The key ingredient to make AI smarter for you is customization. For companies, Refact.ai offers:
Refact.ai is an AI coding assistant with fine-tuning. You can train it to understand your specific coding practices and the frameworks you use.
After fine-tuning, AI code suggestions you get feel like they were written by your most experienced senior developer that knows everything about the project—not a one-size-fits-all algorithm. This leads to faster work and up to a 45% productivity boost in teams using a fine-tunable AI coding assistant.
The other great thing here is that you can run multiple fine-tunes for different teams at the same time! This makes Refact.ai stand out from GitHub Copilot, which doesn’t offer fine-tuning at all.
The AI model in Refact.ai can utilize your entire codebase to give suggestions that actually make sense for the current task within your project. This technology is called RAG, or Retrieval Augmented Generation.
RAG works both for code completion and in-IDE chat within Refact.ai—to learn more about it, check out our blog post. You can also read a technical post by Oleg Klimov, CEO of Refact.ai and former OpenAI researcher, on implementing RAG in the AI coding assistant.
Set up custom commands and chat prompts tailored to different teams or tasks within your organization. This ensures that each team member has AI assistance precisely tuned to their responsibilities and the things he or she works on daily.
Refact.ai lets you choose from over 25 AI models for coding and chat queries. And yes, you can fine-tune many of them to adapt to your development requirements!
To see all the AI models available, check out the Supported Models list in the Documentation.
Imagine you have a team working on the front end of a website and another team on the back end. With Refact.ai, your front-end team members can get AI help that knows all about React or Vue.js you’re working with, including some specific libraries. Meanwhile, your back-end team receives suggestions perfect for working with databases or APIs. It’s like having a specialized AI assistant for every part of your project.
Software development is a complex and dynamic process where developers face a wide range of coding challenges. So, an AI coding assistant for an IT company should be advanced enough to enhance the entire development process.
Refact.ai offers an AI coding assistant for IDEs with:
These features empower all stages of the software development, from writing new code to understanding and refactoring existing codebases. Refact.ai easily integrates into your company’s workflow, making programmers happier and better at their jobs.
By excelling in three key areas—security, accuracy, and efficiency—Refact.ai offers an advanced solution, perfect for the key needs of enterprise software development:
For software companies this means:
For enterprises looking to stay competitive, Refact.ai isn’t just an AI coding assistant - it’s a strategic asset to deliver top-notch IT solutions in a secure, efficient, and scalable way.
Explore how Refact.ai can transform your enterprise coding and unlock the full potential of your team to excel in today’s tech landscape!
Try Refact.ai Enterprise 2 weeks for free: reach out for an online demo with our team or fill out the form and we will contact you
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