Full-Scale Promotion of AI-Driven Development following Participation in Developers Summit 2026
OM Network Co., Ltd. (Niigata) sent three engineers to 'Developers Summit 2026' to explore the future of engineering. The report emphasizes a paradigm shift where AI-driven development is the prerequisite, shifting the engineer's value from 'HOW' (implementation) to 'WHAT' (value definition) and highlighting the need for organizational modernization based on Conway's Law.
📋 Article Processing Timeline
- 📰 Published: March 31, 2026 at 18:10
- 🔍 Collected: April 1, 2026 at 13:39 (19h 29m after Published)
- 🤖 AI Analyzed: April 22, 2026 at 01:00 (491h 20m after Collected)
## Background of Participation in DevSummi 2026
OM Network Co., Ltd. (Headquarters: Chuo-ku, Niigata City; Representative Director: Shinya Yamagishi) sent three engineers from its Solution Department to 'Developers Summit 2026' (DevSummi 2026), one of Japan's largest engineer conferences held on February 19, 2026.
The company encourages participation in external conferences to catch up with the latest technical trends and apply them to product development. This report summarizes the insights gained on-site and the implications for the company's future development structure.
## AI as a Prerequisite: Shift in Engineer Value from 'HOW' to 'WHAT'
The overriding keyword throughout DevSummi 2026 was that AI-driven development is now a 'prerequisite.' The atmosphere shifted from 'whether to use AI' to 'how to integrate it.'
Three common themes emerged:
1. **Shift from 'HOW' to 'WHAT'**: In an era where AI handles coding (HOW), the engineer's value moves to the ability to define 'what to build' (WHAT) and why it is necessary.
2. **Responsibility remains with the engineer**: Humans hold the final judgment and quality assurance for AI outputs. The eye to discern AI quality is cultivated through an engineer's own experience.
3. **Organizational Documentation of Tacit Knowledge**: The quality of AI output directly correlates with the quality of prompts. Creating organizational systems to verbalize and accumulate tacit business knowledge and domain expertise is where future competitiveness will lie.
## Reports by Participating Engineers
Based on these shared understandings, the participating engineers provided detailed insights:
**Participant A: Engineer (28 years experience)**
*~ Modernization, Organization, and the Value of Experience in the AI Era ~*
Attended Day 2 and listened to topics ranging from Platform Engineering to careers in the AI age.
**Impressionable Session: 'Architecture Modernization Implementing Will' (19-B-4)**
The realization that the 'futility of code becoming slow again no matter how many times it's rewritten' often stems from organizational structure (Conway's Law) rather than the code itself was profound. Legacy issues aren't about being 'old,' but about being 'unable to respond to change.' Modernization requires reforming both organization and architecture together.
OM Network Co., Ltd. (Headquarters: Chuo-ku, Niigata City; Representative Director: Shinya Yamagishi) sent three engineers from its Solution Department to 'Developers Summit 2026' (DevSummi 2026), one of Japan's largest engineer conferences held on February 19, 2026.
The company encourages participation in external conferences to catch up with the latest technical trends and apply them to product development. This report summarizes the insights gained on-site and the implications for the company's future development structure.
## AI as a Prerequisite: Shift in Engineer Value from 'HOW' to 'WHAT'
The overriding keyword throughout DevSummi 2026 was that AI-driven development is now a 'prerequisite.' The atmosphere shifted from 'whether to use AI' to 'how to integrate it.'
Three common themes emerged:
1. **Shift from 'HOW' to 'WHAT'**: In an era where AI handles coding (HOW), the engineer's value moves to the ability to define 'what to build' (WHAT) and why it is necessary.
2. **Responsibility remains with the engineer**: Humans hold the final judgment and quality assurance for AI outputs. The eye to discern AI quality is cultivated through an engineer's own experience.
3. **Organizational Documentation of Tacit Knowledge**: The quality of AI output directly correlates with the quality of prompts. Creating organizational systems to verbalize and accumulate tacit business knowledge and domain expertise is where future competitiveness will lie.
## Reports by Participating Engineers
Based on these shared understandings, the participating engineers provided detailed insights:
**Participant A: Engineer (28 years experience)**
*~ Modernization, Organization, and the Value of Experience in the AI Era ~*
Attended Day 2 and listened to topics ranging from Platform Engineering to careers in the AI age.
**Impressionable Session: 'Architecture Modernization Implementing Will' (19-B-4)**
The realization that the 'futility of code becoming slow again no matter how many times it's rewritten' often stems from organizational structure (Conway's Law) rather than the code itself was profound. Legacy issues aren't about being 'old,' but about being 'unable to respond to change.' Modernization requires reforming both organization and architecture together.