AWS re:Invent 2025 - Maximize Productivity with the Amazon Q Developer CLI Agent (DVT223)

Maximizing Productivity with the Amazon Kira CLI Agent

Overview

• The presentation discusses the Amazon Kira CLI (Command Line Interface) agent, a tool that leverages AI to enhance developer productivity.
• The Kira CLI is an evolution of the previous Amazon Q Developer CLI, providing a more user-friendly interface and expanded capabilities.
• The speaker, a cloud architect and content creator from Pluralsight, shares how they use the Kira CLI to streamline various technical and non-technical tasks in their role.

Key Findings from Pluralsight's Tech Forecast

• The next phase of AI will focus on governance, ethics, and return on investment, with cloud services from AWS like Fedrock and SageMaker enabling AI for a wider audience.
• The top technical gaps identified are cybersecurity, core cloud skills, cloud architecture, cloud security, and AI/machine learning.
• Keeping up with these new trends and skills is crucial, which is why the Kira CLI can be a valuable tool.

Getting Started with the Kira CLI

• The Kira CLI can be accessed through the AWS Console, the Kira IDE (an extension of VS Code), or directly in the terminal.
• The terminal-based Kira CLI offers a simple and straightforward interface for those who prefer working in the command line.

Sample Kira CLI Use Cases

1. AWS CLI Command Lookup: The Kira CLI can provide the correct AWS CLI command, such as stopping an Amazon Comprehend sentiment analysis job, which the speaker may not remember.
2. Troubleshooting Assistance: The Kira CLI can help troubleshoot errors, such as an "access denied" issue, by providing a step-by-step approach and suggested AWS CLI commands to investigate the problem.
3. Policy Review and Improvement: The Kira CLI can review IAM policies, identify security best practices, and suggest improvements to the policy.
4. Boto3 Invocation of Bedrock Models: The Kira CLI can provide sample Python code to invoke Bedrock models using the Boto3 SDK, including details on required parameters.
5. Synthetic Data Generation: The Kira CLI can quickly generate synthetic data samples that the speaker can use for testing and demonstrations.
6. Architectural Diagram Creation: The Kira CLI can create diagrams of multi-tier AWS architectures, such as an application load balancer, ECS, and Aurora, which the speaker can use to explain their design rationale.

Mistakes to Avoid

1. Hallucinations: AI-generated responses may contain inaccuracies, so it's important to validate the information and not blindly trust the output.
2. Over-Reliance: The Kira CLI should be treated as an assistant, not an authority, and its recommendations should be used to support decision-making, not replace it.
3. Data Sharing Concerns: When using the free tier of services, be cautious about providing confidential data, as it may be used to retrain the underlying models.

Thriving in the Age of AI

• There is a growing demand for individuals who can effectively leverage AI tools like the Kira CLI to enhance their productivity and decision-making.
• Key skills include understanding the strengths and limitations of AI, adapting quickly to changes, and blending AI with human expertise, context, ethics, and empathy.
• The speaker encourages the audience to experiment with the Kira CLI, start with low-stakes tasks, validate the output, track productivity gains, and share successes and failures with their teams.

Additional Resources

• The speaker provides links to articles on using AWS MCP servers with the Kira CLI and 10 ways they use the technology to save time.
• Pluralsight offers a wide range of content related to AWS certifications, Kira/Q Developer, and AI/machine learning.