Businesses face unique challenges in software management, including dealing with legacy systems, maintaining code security, and ensuring optimal performance. Our AI developer platform for quality code, Artemis AI, addresses these challenges head-on, offering a range of capabilities designed to transform how businesses manage and optimise their code bases at scale.
The Challenges of Maintaining Software Quality
- Overcoming legacy system limitations
- Ensuring code security and compliance
- Optimising performance
- Simplifying code management and debugging processes
1. Code Upgrade
Problem
Companies often struggle with keeping their software applications up to date with the latest versions of the programming languages they are written in. This can lead to security vulnerabilities, inefficiencies, higher maintenance costs, and compatibility issues with modern systems.
Solution
Artemis AI’s code upgrade capability can fast track the process of modernising code from an older version to the latest, such as upgrading from C++17 to C++20, ensuring the software stays up-to-date with current standards.
Benefits
By modernising codebases, organisations can extend the life of their legacy systems, improve interoperability with new technologies, and enhance overall system security and maintainability. With Artemis AI, engineers can enhance their productivity by reducing the time spent on manually upgrading each application while keeping costs low.
2. Code Search
Problem
As codebases grow, finding specific functionalities or understanding parts of the code can become increasingly difficult, especially for new team members or when dealing with poorly documented code.
Solution
Artemis AI’s chat interface can understand natural language queries, allowing developers to ask complex questions about the codebase, such as how different code elements work with each other. It also enables web searches (e.g. Google) for the latest open-source libraries and information.
Benefits
This advanced search capability fosters better team collaboration and knowledge transfer, making onboarding new developers faster and more efficient. It acts as a live documentation tool that can significantly reduce the learning curve for complex codebases.
3. Code Optimisation
Problem
Beyond general inefficiencies, specific code sections may be overusing resources due to suboptimal algorithms or unoptimised data structures, leading to enormous compute costs and scalability issues as the application grows.
Solution
Artemis AI can perform deep automatic code analysis to identify inefficiencies that slow down your codebase. It then suggests algorithmic improvements and data structure optimisations, providing alternative code snippets that perform the same tasks more efficiently. This capability is powered by our in-house, fine-tuned ArtemisLLM designed to enhance code performance.
Benefits
This targeted optimisation helps scale applications effectively, better manage resource utilisation, and prepare systems for future growth. It also aids in reducing environmental impact by making applications more energy-efficient.
4. Code Security
Problem
The ever-evolving landscape of cyber threats means that code must be continually assessed for vulnerabilities, including those that may not have been recognised at the time of development.
Solution
Artemis AI can spot security deficiencies across hundreds of repositories and suggest code changes to secure your code bases, ensuring that applications are not only efficient but also secure against potential threats.
Benefits
This proactive approach to security ensures that applications remain resilient against emerging threats, reduces the risk of costly security incidents, and maintains customer trust by safeguarding sensitive information.
Backed by a decade of research in evolutionary optimisation, Artemis AI enables developers to flexibly utilise LLMs (including our proprietary code performance LLM), coupled with evolutionary optimisation and robust testing, to generate high-quality, high-performance software code. By adopting Artemis AI, businesses can significantly advance software efficiency, security, and regulatory compliance, positioning themselves for success in a rapidly changing technological landscape.
