Generative Artificial Intelligence
Zero Touch Quality Assurance with Agentic AI
The Future of Generative AI Covlant Neural Engine
Nataim UK Ltd is fully partnered with UnifiCloud, which serves as a Global 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, TypeScript Java 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.
Covlant’s Mission
Covlant transforms software development by boosting developer productivity and reducing downtime. Our innovative solutions enable developers to detect bugs early, create superior products, and accelerate time-to-market. Through AI-powered quality assurance, we drive business success and strengthen competitive advantage.
Covlant’s Story
Quality issues can have a profound impact on a business’s success. Although test cases are essential, they are often viewed as tedious and time-consuming. Overburdened developers may resort to creating placeholder tests that fall short of their intended purpose. Consequently, quality assurance risks becoming little more than a box-checking exercise.
Covlant’s Approach
We believe there’s a better way to tackle these challenges. With deep industry experience, we understand these obstacles firsthand. Our mission is to leverage AI to make quality assurance more efficient, impactful, and engaging for developers.
Test Intelligently
Deploy With Confidence
AI-Powered Impact Testing Platform
Ship Faster. Think AI.
How does Covlant work?
Priority-driven testing from start to finish
Covlant tests only changes to maximize AI impact.
Where Teams Move at AI Speed
Catch issues during development, not in production.
Automatically generate tests that truly validate your code.
Identify failed tests instantly, no endless searching required.
Deterministic logic + top-tier LLMs = better accuracy.
Focus testing on what changed.
Analyze PRs, prioritize impacted flows, and test only what matters.
Auto-generate and execute tests instantly.
Covlant selects existing tests and generates new ones to cover impacted code.
Human-controlled review for full oversight.
View results, investigate failures, and decide next steps.
Our secret is precision testing through AI change analysis.
Powered by AI that deeply
understands your code
CodeGraph
A full, trustworthy map of your codebase
We chart your entire code and its connections to identify exactly what changed and what it affects. The analysis is precise and reliable, capturing small updates that general-purpose LLMs overlook.
Quality Agents
AI agents for testing, reviewed by humans
Our agents leverage top-tier AI to generate, pick, and execute only relevant tests. Tests are verified before results are displayed. You review outcomes to quickly and clearly see what passed, what failed, and why.
Why choose Covlant?
More precise tests.
Swift review
Monitors actual code changes
Covlant directly examines source code and dependencies to pinpoint exactly what changed and which flows were impacted.
Superior AI accuracy
Deterministic analysis catches subtle changes LLMs overlook, combined with top-tier AI for testing and orchestration.
Rapid, effortless QA
Prioritizes and executes only impacted tests, so QA teams verify changes faster without manual triage or lengthy delays.
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, TypeScript
● Deployment models: On-premises or SaaS
● API Availability: Present, not currently released as of Nov. 2024
Repository-Wide Chat
- Instant Answers: Quickly resolve your coding questions with immediate responses.
- Context-Aware Assistance: Access intelligent suggestions and explanations tailored to your code.
- Seamless Integration: Work effortlessly within your existing development environment.
Executable Test Case Generator
- Instant Solutions: Get quick answers to your coding queries.
- Smart Assistance: Benefit from context-aware suggestions and detailed explanations.
- Effortless Integration: Seamlessly connect with your development environment.
Unlock Your Full Development Potential
Accelerate Test Case Creation: Generate test cases quickly to save time and effort.
Simplify Knowledge Transfer: Reduce onboarding time and streamline the sharing of expertise.
Enhance Code Coverage: Achieve greater test coverage for more reliable and robust software.
Boost Bug Detection: Improve efficiency in identifying and resolving bugs.
Optimize Workflows: Streamline processes for smoother and faster code production.
Elevate Development and Troubleshooting: Increase productivity in coding and problem-solving tasks.
AI Powered Impact Testing Platform
UnifiCloud is a GLOBAL channel partner with Covlant.
Covlant is an AI company focused on enhancing developer productivity by helping software engineering teams produce higher-quality code at an accelerated pace. Compatible with multiple programming languages like Python, TypeScript Java and Golang. Covlant integrates seamlessly with popular development tools like GitHub and Bitbucket. The company’s exclusive Covlant Neural Engine offers advanced code intelligence, while the Covlant Cloud Build System enables developers to work faster by delivering consistently runnable, high-coverage, and meaningful tests within their development environment.
Covlant’s Mission
Covlant revolutionizes software development by enhancing developer productivity and minimizing downtime. Our solutions empower developers to identify bugs early, deliver high-quality products, and speed up time-to-market. With AI-driven quality assurance, we help businesses achieve success and gain a competitive advantage.
Covlant’s Story
Quality issues can significantly influence the success of a business. While test cases are crucial, they are frequently perceived as tedious tasks. Developers, often swamped with responsibilities, may resort to writing placeholder tests that fail to fulfill their intended purpose. As a result, quality assurance can devolve into a mere box-ticking exercise.
Covlant’s Approach
We believe there is a more effective way to address these challenges. Drawing from our extensive industry experience, we understand these obstacles intimately. Our passion lies in harnessing AI to transform quality assurance into a more effective and engaging process for developers.
What amazing content will you create with Covlant Neural Engine
Product Overview
Few would dispute that Generative AI (GenAI) is set to revolutionize code development. By automating repetitive tasks, boosting collaboration, and speeding up the coding process, GenAI enables developers to focus more on complex problem-solving and the creative aspects of their work.
R&D
Covlant recognizes that this shift will take time, as it represents a transformational change in how code has been developed for decades. One area we believe has been largely overlooked is test code generation. Research consistently shows that higher test coverage results in higher-quality code with fewer defects. Additionally, developers often dislike writing test code and are open to exploring GenAI solutions to assist, as developer surveys indicate.
Challenges with GenAI
One challenge with GenAI-generated code is that it isn’t always executable. Covlant believes that its Neural Engine and Build System have overcome the inherent issues often encountered when using GenAI to write code—particularly test code in Covlant’s case.
How It Works?
Key Features
Deep Code Analysis: Covlant analyzes the codebase with a comprehensive understanding of the source code’s functionality, featuring a CLI chatbot that allows developers to ask questions and gain actionable insights.
Custom Test Code Generation: Developers initiate test code creation, tailored to the specific file or set of files they are working on.
Utilization of Public LLMs: Rather than training or fine-tuning its own large language models (LLMs), Covlant leverages publicly available models such as OpenAI, Anthropic, and Llama.
Flexible Deployment Options: The Neural Engine and Build System can be deployed 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, TypeScript
● Deployment models: On-premises or SaaS
● API Availability: Present, not currently released as of Nov. 2024
Repository-Wide Chat
- Get instant answers to your coding questions
- Receive context-aware suggestions and explanations
- Enjoy seamless integration with your development environment
Executable Test Case Generator
- Get instant answers to your coding questions
- Receive context-aware suggestions and explanations
- Enjoy seamless integration with your development environment
Unleash Your Development Potential
Real Results with AI-Driven Quality Control
Faster Test Case Generation: Quickly create test cases to save time and effort.
Reduced Knowledge Transfer Time: Minimize the time needed to onboard and share expertise.
Increased Code Coverage: Achieve higher test coverage for more reliable and robust code.
Improved Bug Detection: Enhance the ability to detect and resolve bugs efficiently.
Streamlined Workflows: Optimize processes to produce quality code with less hassle.
Proficient Development and Troubleshooting: Boost efficiency in coding and problem-solving tasks.
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