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AI DevOps Simplified with Copilot4DevOps Plus

Generative AI has forever changed how companies do DevOps. AI DevOps will increasingly be involved in nearly every step of the DevOps cycle, from planning to monitoring. When used correctly, it can help you navigate the pitfalls of the process; including misunderstood requirements, spotting patterns in data, team collaboration, test case generation, and more.

For progressive companies, AI is already a key competitive advantage in their DevOps workflow.  By 2022, 24% of respondents in the GitLab 2023 Global DevSecOps Report said AI was part of their DevOps practices. This number likely exploded in 2023 with the mainstreaming of ChatGPT.

However, ChatGPT isn’t custom made for AI in DevOps, which leads to certain limitations. This blog introduces you to the game-changing capabilities of Copilot4DevOps Plus and explores how its key features can significantly benefit your development process.

Table of Contents

1. Copilot4DevOps Plus: The Next Level of AI DevOps

Copilot4DevOps Plus is the latest iteration of Modern Requirements’ game changing Copilot4DevOpsan AI assistant built into the Requirements Management tool Modern Requirements4DevOps. It brings new features and better performance to increase productivity and save time. Designed to cater to both nimble startups and sprawling enterprises, Copilot4DevOps Plus is the versatile tool that developers, business analysts, system analysts, compliance engineers, requirements engineers, risk engineers, product owners, product managers, and more can use.

For a detailed dive into its features, view the launch webinar below:

2. Differences between Copilot4DevOps and Copilot4DevOps Plus

Copilot4DevOps Plus leverages the latest in AI requirements management to streamline and enhance every aspect of this process. Both Copilot4DevOps and Copilot4DevOps Plus were designed with the following features:

  • Elicit High-Quality Requirements: With just one click, Copilot4DevOps Plus helps you elicit clear, comprehensive requirements, features, bugs, diagrams, epics, and more with a single click.
  • Analyze Work Item Data: You can improve the quality of your requirements writing and prioritize your requirements better. Analyze offers you multiple options, like the 6C method, INVEST model, PABLO Criteria, MoSCoW method, or the SWOT method.
  • Convert: Express requirements in different formats like user story, use case, or Gherkin language. Enable better alignment between technical and non-technical stakeholders.
  • Transform: Modify and enhance requirements by summarizing or paraphrasing them for better understanding. Elaborate them to add detail and increase requirement coverage. Improve collaboration between teams through high quality translation of requirements into more than 40 languages.
  • However, Copilot4DevOps Plus is truly unique because it takes the industry leading Copilot4DevOps’ power to the next level with additional groundbreaking features:
A graphic comparing Copilot4DevOps and Copilot4DevOps Plus, including features, AI models, and price.
Copilot4DevOps Plus has all the features of Copilot4DevOps plus a greater choice of AI models and more processing power.
  • Impact Assessment: Evaluate the impact of specific work items on other work items or based on explanation. Identify impact details and tasks, categorized by severity.
UI of Copilot4DevOps Plus showing the Impact Assessment functionality.
Impact Assessment helps DevOps professionals recognize and predict the impact of changes to work items.
  • Q&A Assistant: Ask questions to the assistant to elicit insightful questions and detailed requirements. Enhance clarity and ensure comprehensive coverage of stakeholder needs.
UI of COpilot4DevOps Plus showing the Q&A function
Q&A Assistant helps you generate questions and answers on given topics based prompts.
  • Generate: Translate requirements into algorithmic steps using Pseudocode or Test Scripts.
    Create high-quality pseudocode from work items in multiple languages like Javascript, C++, or natural language.
    Create high quality test scripts from work items in common scripting languages like Selenium, Python, and more.
  • Create Codeless App: Create custom applications without code, enabling rapid deployment and easy customization.
UI showing No code app generation on Copilot4DevOps Plus.
No code app generation allows for better data centralization and easier customization.
  • Dynamic Prompt: These are a powerful way to spot patterns in large data sets.

This is an extremely powerful feature. You can engage with your projects more interactively, by pairing queries to prompts for more precise outcomes. For instance, you can ask Dynamic Prompts to spot which requirements on a car project are compliant and non-compliant with ASPICE.

UI showing Dynamic Prompts functionality of Copilot4DevOps Plus.
Dynamic Prompts helps you do pattern recognition work that would otherwise take weeks.
  • Custom Instructions: With custom instructions, you can refine your interactions with Copilot4DevOps Plus by giving it more specific instructions. These include being able to choose the GPT model, response type, response length and custom instructions.
UI of Copilot4DevOps Plus showing the custom instructions functionality.
Custom Instructions help you fine tune the AI for your specific needs.

Users can choose between GPT 4o and GPT 4o mini. We recommend the latter in most cases. GPT 4o will give you the highest quality possible output but also consumes more tokens.

By default, Copilot4DevOps Plus draws from its corpus of knowledge. But with custom instructions, you can give it specific instruction tailored to your needs.

3. Security and Reliability

AI security is non-negotiable. Security continues to be a key priority Modern Requirements. This is precisely why Copilot4DevOps and Copilot4DevOps Plus have been designed to inherit OpenAI and Azure OpenAI security protocols.

i. OpenAI Security
Microsoft logo in the background and OpenAI logo on a cellphone in the front.
Copilot4DevOps Plus inherits OpenAI's security policies.

As a result, Copilot4DevOps Plus inherits all OpenAI security policies. These include:

Enterprise Privacy at OpenAI:

  • Data Privacy: Your information is yours alone. OpenAI doesn’t utilize your data to enhance its training models.
  • Data Governance: The power is in your hands. Control access to your data and ensure your models remain exclusively yours.
  • Data Protection: OpenAI’s commitment to SOC 2 compliance and robust encryption, your data’s security is assured.

FAQ:

  • OpenAI does not train its models on your business data.
  • Your company’s internal model is private.
  • OpenAI encrypts all data at rest (AES-256) and in transit (TLS 1.2+).
  • OpenAI strictly restricts access control.
  • GDPR and Privacy Laws: OpenAI can support compliance with the Data Processing Addendum.


API Platform:

  • Copilot4DevOps Plus inherits its security from OpenAI’s API platform. This offers access to models and applications, including fine-tuning for use cases.
  • OpenAI brings secure retention of API data with an option for zero data retention.

For Modern Requirements’ AI security policy, visit the OpenAI security blog.

4. Continuing Leadership in AI DevOps

AI is the next generation of DevOps. Companies that use artificial intelligence in their DevOps processes will have a competitive edge in the latter half of this decade and beyond. Copilot4DevOps Plus is at the forefront of this transformation, with a series of industry leading features. The decision is now yours to make- do you want to be ahead of the game by utilizing AI DevOps or will you be left behind?

AI DevOps is the future. Get a Copilot4DevOps Plus demo now.

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