Sold by: Incedo Inc
AI-powered terminal assistant for engineering teams to automate development, testing, log analysis, and DevOps workflows. Built on AWS, SEEK-CLI brings specialized AI agents directly into the command line for faster, smarter execution.
Overview
Bring AI Agents Directly Into the Developer Workflow
Modern engineering teams move fast—but daily execution is still slowed by repetitive commands, fragmented tools, manual debugging, test creation, and context switching across development environments. Developers, QA engineers, and DevOps teams often spend valuable time on tasks that should be automated.
SEEK-CLI reimagines the command line as an intelligent workspace powered by autonomous AI agents. Instead of switching between scripts, dashboards, documentation, and multiple tools, users can work directly from the terminal using natural language and specialized AI assistants designed to accelerate execution.
The result is a faster, more intuitive developer experience where teams spend less time operating tools and more time building, shipping, and solving real problems.
Why Traditional CLI Workflows Limit Productivity
While the terminal remains the preferred interface for many technical teams, it still requires deep command knowledge, manual troubleshooting, and significant time spent on repetitive workflows. Creating tests, managing remote environments, analyzing logs, and navigating infrastructure often depend on individual expertise rather than scalable automation.
This creates avoidable delays, inconsistent execution, onboarding challenges, and unnecessary operational overhead.
How the Platform Creates Value
SEEK-CLI introduces an agentic AI layer directly into the terminal experience. Users describe what they need in plain English, and the right AI agent interprets intent, selects the appropriate workflow, and helps execute the task.
Specialized agents can generate tests from OpenAPI specifications, manage SSH connections intelligently, analyze logs for root causes, answer technical questions, and support day-to-day development operations. A modern terminal-native interface provides streaming responses, responsive interactions, and a developer-first user experience.
Built Using AWS Services
The solution is built on AWS and can leverage Amazon Bedrock for generative AI agents, Amazon SageMaker for task intelligence and model customization, AWS Lambda for automation workflows, Amazon ECS or Amazon EKS for scalable container execution, Amazon S3 for artifact storage, Amazon CloudWatch for logs and monitoring, AWS CodeBuild for CI/CD integrations, and AWS Identity and Access Management for secure access controls.
What This Enables
Engineering teams gain faster task execution, automated test generation, smarter troubleshooting, simplified remote operations, reduced command-line complexity, improved onboarding, and an extensible AI workspace that scales across development and DevOps functions.
Why It Matters
With the right AI assistant embedded in everyday workflows, organizations can improve engineering productivity, reduce repetitive effort, accelerate delivery cycles, strengthen reliability, and create a modern developer experience built for speed and scale
Highlights
- Terminal-first AI workspace that brings intelligent agents directly into development and DevOps workflows.
- Specialized agents for test generation, SSH management, log analysis, and technical assistance with natural language commands.
- Developer-friendly interface with streaming responses, container-safe execution, and scalable automation on AWS.
Details
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Delivery method
Deployed on AWS
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Support
Vendor support
For product support, implementation assistance, and technical inquiries, customers can contact the Incedo support team:
Website: https://www.incedoinc.com
Email: Partnerships_Alliances@incedoinc.com
Incedo provides support across platform implementation, workflow integration, AI agent configuration, onboarding, user enablement, performance tuning, and ongoing technical support.
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