Generative Artificial Intelligence
The Future of Generative AI Covlant Neural Engine
Nataim UK Ltd is partnered with UnifiCloud, which serves as a channel partner for Covlant.
Covlant is an AI-driven company dedicated to boosting developer productivity by enabling software engineering teams to create high-quality code at a faster pace. Supporting multiple programming languages such as Python, Java, Scala, and Golang, Covlant seamlessly integrates with widely used development tools like GitHub and Bitbucket. Its proprietary Covlant Neural Engine provides advanced code intelligence, while the Covlant Cloud Build System empowers developers to work more efficiently by generating consistently runnable, high-coverage, and meaningful tests directly within their development environment.
Features
What incredible content will you craft with the Covlant Neural Engine?
Product Overview
Generative AI (GenAI) is widely recognized as a game-changer for code development. By automating repetitive tasks, enhancing collaboration, and accelerating the coding process, GenAI empowers developers to dedicate more time to complex problem-solving and the creative elements of their work.
R&D
Covlant understands that this transition will take time, as it marks a fundamental shift in decades-old coding practices. One area we see as underexplored is test code generation. Studies consistently demonstrate that higher test coverage leads to better-quality code with fewer defects. Moreover, surveys reveal that developers often find writing test code tedious and are open to leveraging GenAI solutions for assistance.
“GenAI Challenges”
One key challenge with GenAI-generated code is its lack of guaranteed executability. Covlant addresses this issue with its Neural Engine and Build System, which are designed to overcome the common pitfalls of using GenAI for code generation—especially for test code in Covlant’s case.
How It Works?
Key Features
Deep Code Analysis: Covlant provides a thorough understanding of the codebase, leveraging its CLI chatbot to help developers ask questions and obtain actionable insights about the source code’s functionality.
Tailored Test Code Generation: Developers control the creation of test code, customizing it for specific files or sets of files they are working on.
Use of Public LLMs: Instead of developing or fine-tuning proprietary large language models (LLMs), Covlant utilizes publicly available models like OpenAI, Anthropic, and Llama.
Versatile Deployment Options: The Neural Engine and Build System are designed for flexibility, functioning seamlessly in Covlant’s cloud, on-premises in customer data centers, or within existing cloud environments.
Technical Specification
● Supported LLMs: OpenAI, Azure OpenAI, Anthropic, Llama
● Languages Supported: Java, Python, Golang, Scala
● Deployment models: On-premises or SaaS
● API Availability: Present, not currently released as of Nov. 2024