AI-Driven Development Life Cycle

从基于 GenAI 的咨询到运营的全过程提供全新体验。AI SDLC 实现从设计到运营的自动化和智能化,是同时革新开发速度和质量的 Agile 应用开发方法论。

Applications & DevOps

150+0+

Scale of Application Delivery

50+0+

GenAI Agent-based Core Automation Build

1000+0+

AI-Native AIR DevOps Engineers

40+0+

Vibe Coding Implementation Engagements

30%0%

Accelerated Time-to-Market

Customer Success Story 全球综合物流集团(H Company)

应用 AI-Driven Development
从 12 个月缩短至 9 个月

管理全球航空、综合物流、休闲子公司的 H 公司通过建立 AI-Driven 开发标准,以智能开发环境构建服务。 通过成功案例了解如何革新现有开发体系。

30%↑0%↑

代码生产力提升

50%0%

基于 AI Prompt 的代码生成

20%↓0%↓

代码错误减少

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AIR DevOps SDLC

Al-Driven Development Life Cycle

1

Code Enablement

4 周 · MVP 构建及可行性验证

  • Pre-Scoping
  • MVP 构建
  • Retro
2

Code Foundation

3 个月 · 建立基于 AI 的开发标准

  • 开发标准
3

Code Development

3 个月 ~ 1 年 · 需求定义 → 代码生成 → 测试

  • Recruitment需求
  • Build代码生成
  • Test构建 & 测试
  • Deploy部署
4

Code Operation

运营管理

5

Monitoring

  • Governance Monitoring
  • Application Monitoring

App Modernization

DevOps

Vibe Coding

Awards and Recognition

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2023 AWS Summit Seoul SI Partner Award

Honored for delivering innovative cloud solutions and outstanding SI capabilities on AWS 2023 AWS Summit Seoul SI

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AWS AI-DLC Strategic Partner

A strategic technology partner accelerating AI-driven development lifecycles with AWS

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KIRO AI Technology Certification 2024

A key partner enhancing product readiness through Kiro pre-testing and feedback

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Q-Developer Strategic Partner

A strategic partner advancing AI-driven development by enhancing product capabilities aligned with enterprise requirements

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AWS Premier Tier Consulting Partner

Recognized at AWS's highest partnership level for technical excellence in cloud, AI, and AICC deployments

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AWS Competency: Data & Analytics, DevOps, Migration

AWS-certified expertise in data, DevOps, migration, and generative AI for comprehensive AICC implementations

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AIR DevOps 不仅是工具,更是决定业务增长的引擎。

通过 AI 中心 SDLC 转型缩短交付时间, 提前预测故障,确保"最大化的业务成果"。

ACT ACERTi

ISO/IEC 42001:2023
ISO/IEC 27001:2022

ISO/IEC 27018:2019
ISO/IEC 27017:2015

ISO/IEC 27701:2019
ISO 45001:2018