AI-Driven Development Life Cycle
We offer a new experience in the entire process from GenAI-based consulting to operation. It is an Agile application development methodology that innovates development speed and quality simultaneously by implementing automation and intelligence from design to operation with AI SDLC.
Applications & DevOps
Scale of Application Delivery
GenAI Agent-based Core Automation Build
AI-Native AIR DevOps Engineers
Vibe Coding Implementation Engagements
Accelerated Time-to-Market

Customer Success Story Global Integrated Logistics Group (H Company)
Applying AI-Driven Development
Reduced Period from 12 Months to 9 Months
Company H, which manages global airline, integrated logistics, and leisure affiliates, established a service with an intelligent development environment by establishing AI-Driven development standards. Check out the success story of how they innovated their existing development system.
Improved Code Productivity
AI Prompt-based Code Generation
Reduced Code Errors
AIR DevOps SDLC
Al-Driven Development Life Cycle
Code Enablement
4 Weeks · MVP Construction and Possibility Verification
- Pre-Scoping
- MVP Construction
- Retro
Code Foundation
3 Months · Establishing AI-based Development Standards
- Development Standards
Code Development
3 Months ~ 1 Year · Requirement Definition → Code Generation → Testing
- RecruitmentRequirements
- BuildCode Generation
- TestBuild & Test
- DeployDeploy
Code Operation
Operation Management
Monitoring
- Governance Monitoring
- Application Monitoring
App Modernization
DevOps
Vibe Coding
AIR DevOps, Innovation in SDLC Accelerated by AI
We provide a new experience throughout the entire process from consulting to development and operations with AI Code Assistant. By achieving 50% reduction in development time and 82% legacy conversion rate, we maximize business speed and secure competitive advantage to lead the market.
Code Enablement
Maximize AX transformation through rapid validation of AI-based development and hands-on MVP-focused experience Identify customer pain points, define and implement priority-based MVPs, and validate them. This is an execution-focused approach that repeats prompting capability internalization and feedback analysis to quickly confirm the effects of AI and cloud adoption and present a roadmap.
Code Operation
AI Operation system that provides operational quality through AI and automation Code Operation is a modern application operations model that simultaneously enhances operational stability and development productivity through SLO-based quality management and AI/automation-focused change and incident response systems.

Monitor
Monitor the status of systems and AI models in real-time and immediately detect anomalies. Leverage AI Ops to proactively monitor not only system resources (CPU, Memory) but also AI model performance degradation and data quality issues. Establish an essential Single Source of Truth foundation for stable service operations.
Code Foundation
Establish technology-based standards that modernize development standards through AI-centric SDLC reorganization. Redesign SDLC as an AI-based workflow and standardize AI Code Assistant, IDE, and CI/CD tool systems to enhance development productivity and quality. Complete enterprise-wide development standards from prompt writing to technical documentation and AI utilization training, modernizing the organization's development capabilities.
Code Development (Requirement / Build / Test / Deployment)
Clearly define business requirements and design AI strategy and ROI to present an execution roadmap for achieving goals Automate code integration and build through continuous integration (CI) pipelines and MLOps-based model training and retraining to achieve a state ready for immediate deployment. Standardize quality through AI automatic validation and security analysis, and secure both stability and speed through zero-downtime deployment.
Build Faster. Modernize Smarter. AIR Transformation
DevOps, App·DB Modernization, Vibe Coding in one, AI-based automation breaks the boundaries of development.
DevOps
Build a fast and stable deployment environment for Cloud Native Applications The DevOps service systematically supports the entire application lifecycle from initial diagnosis to CI/CD pipeline optimization. Through continuous configuration management and deployment support, we ensure both stability and agility of applications.

Vibe Coding
In the AI era, a new way of coding through conversation. Vibe Coding is an innovative way to create actually working apps using only natural language. Non-developers can implement business automation tools in about 90 minutes to increase efficiency and rapidly accelerate the organization's AX transformation.

Database Migration & Modernization
Modernization starting with database migration. We support stable Cloud Database migration through schema conversion, data migration, and performance diagnosis. We secure cost efficiency through operational automation and establish a foundation for future Modernization.
App Modernization
AI-driven automation enables application modernization that simultaneously transforms quality, speed, and cost. By diagnosing system architectures through AI analysis and automating code and SQL conversion, productivity is significantly enhanced. End-to-end (E2E) testing and security checks ensure stability, delivering reduced TCO, improved performance, and strengthened security in a single, integrated approach.
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FAQ
AIR DevOps is not just a tool, but an engine that determines business growth.





