Studios can leverage rich context without concerns about data security. The private and hardened copilot server keeps ingested code context protected. Therefore, even security sensitive studios can take full advantage of context-based suggestions tailored to the specific code project, file or function, saving developers time and effort.
Get quick feedback and suggestions when trying out new libraries or frameworks when learning new programming languages.
Quickly bring new developers up to speed by providing context and suggestions relevant to the studio’s specific codebase.
Similar commercial products, while innovative and powerful, leverage proprietary language models and are delivered as online services, inherently susceptible to potential code leaks or unauthorized access.
How those commercial products handle source code and arrive at their suggestions is obscured from users, making it difficult to assess their potential impact.
Commercial products offer limited LLMs and typically don’t provide customized fine-tuning or prompting to suit individual studios’ codebases or needs.
Copilot Deployment service help you deploy a copilot server employing open-source solutions and IDE extensions, to provide capabilities similar to commercial code-generation products, including chat-based and inline code suggestions, code completion, review and refactoring, and unit testing. The copilot service runs entirely from a self-managed server, either an on-prem GPU hardware you own, or a GPU instance in your cloud account. No source code will be sent to external online services to ensure code safety and privacy.
The copilot service can be deployed on physical hardware of your own choice (given GPU requirement is met) or on a cloud VM in a nearby region. Studios can decide what LLM model to install and have the capability to enable fine-tuning.
Developers can get autocomplete-style code suggestions in the editor or ask questions in a chat interface alongside your code. The IDE extensions along with the copilot server can suggest entire lines or code blocks based on the surrounding context. It can also review, identify improvement opportunities, refactor your code, or explain coding concepts or unfamiliar elements in existing code.
The copilot solution deployed by the service works in VSCode and JetBrains and can provide code suggestions for several programming languages, including Python, golang, Java, C++, etc.
The service can reduce time spent on repetitive tasks such as writing boilerplate code or generating unit tests, freeing developers to focus on complex logic and problem-solving. For junior developers or those new to the team, the service can provide contexture assistance and guidance, accelerating their learning and understanding.
With assistance from copilot service, developer teams can prevent common mistakes by adhering to coding standards and best practices and identifying potential issues or common mistakes early on, leading to cleaner and more reliable code.
Scale your team without scaling your costs. The copilot server incurs charges primarily from GPU server hosting, regardless of user count. Therefore, studios can utilize the service for a broader range of developers and skill levels in many projects.
The service is privately hosted without external dependencies and utilizes industry-standard encryption and zero-trust access control. Therefore, it offers greater privacy and compliance to protect your sensitive code from prying eyes and potential leaks.
Studios have the liberty to deploy copilot server on-prem or in preferred cloud account and region. Furthermore, then can choose LLM models, and fine-tune and optimize them based on their code base.
Products
Solutions
Consulting
Company
Resources
