Building People Before Products in the AI Coding Era — tebiki Insights

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Background of AI Accelerating Code Generation and On-Site Changes

The spread of AI code generation tools has accelerated automation of repetitive implementation tasks at development sites. However, in manufacturing and logistics workflows that require situational judgment, human experience-based contextual understanding remains essential. tebiki Tech Blog notes that without mechanisms to maintain OJT quality during AI adoption, the risk of knowledge concentration persists.

📑Table of Contents

1. Background of AI Accelerating Code Generation and On-Site Changes
2. The Essence of “Building People Before Products”
3. tebiki’s Video Manual Approach to Human Resource Education
4. OJT Efficiency Gains Seen in Adopting Companies
5. Human Judgment and Development Strategies Required in the AI Tool Era
6. Summary and Recommendations for Readers

This shift stems from AI tools enabling even beginners to produce basic code quickly. Yet AI struggles to fully grasp site-specific safety standards and quality control contexts, making work procedure standardization necessary. Readers should treat AI as an assistive tool and pursue parallel investments in human resource development.

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The Essence of “Building People Before Products”

The phrase “building people before products” expresses the priority of developing team skills ahead of product development. Even in the AI era, a culture that eliminates knowledge concentration and shares reproducible procedures forms the foundation. tebiki’s cases introduce efforts to shorten newcomer training time via video manuals and convert veteran know-how into explicit knowledge.

The core of OJT is not mere technical transfer but a process to cultivate on-site judgment. In an era where AI writes code, humans handle exception handling and improvement proposals. Readers are encouraged to begin by video-recording their own workflows and consider mechanisms to visualize team proficiency.

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tebiki’s Video Manual Approach to Human Resource Education

tebiki allows AI subtitle generation and support for over 100 languages simply by recording work with a smartphone. Analyzing viewing history identifies processes where proficiency lags. Compared to traditional paper manuals or verbal instruction, updates are easier and on-site staff can create content themselves.

This approach is documented on the official case page (https://tebiki.jp/case/index.html). In manufacturing and logistics, adoption has led to work standardization and reduced newcomer training time. The SaaS format keeps initial investment low, making it practical for small and medium enterprises.

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OJT Efficiency Gains Seen in Adopting Companies

Companies such as Calbee and Kobe Steel have achieved work standardization and reduced knowledge concentration risk through tebiki. Viewing-history-based feedback loops spread veteran experience across teams. Combining this mechanism with AI tools in the current era helps maintain not only technical skills but also human judgment.

When on-site staff develop a culture of recording and sharing videos, OJT efficiency improves. Readers should review their own work procedures and consider taking the first step toward video manual introduction.

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Human Judgment and Development Strategies Required in the AI Tool Era

The AI tool era demands both verifying tool output quality and bridging skill gaps through education. Pre-evaluation of security risks is also necessary. Readers should start by video-recording existing workflows and fostering a culture of sharing and improvement.

Standardizing OJT with tools like tebiki supports the development efficiency gains from AI code generation. Human education remains indispensable for on-site context understanding and eliminating knowledge concentration.

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Summary and Recommendations for Readers

While AI code generation advances development efficiency, human education remains essential for on-site context understanding and eliminating knowledge concentration. By utilizing video manual tools like tebiki to standardize OJT, sustainable team operations become possible. Readers are advised to review their own work procedures and begin concrete consideration of video manual introduction.

Frequently Asked Questions (FAQ)

Q: In an era where AI writes code, is human resource development truly necessary?

Yes. While AI automates repetitive tasks, human experience and education remain indispensable for understanding site-specific context and eliminating knowledge concentration. Source: tebiki Tech Blog (https://techblog.tebiki.co.jp/2026/06/26/154458)

Q: How does tebiki’s video manual change OJT?

Simply recording work with a smartphone generates AI-subtitled, multilingual videos, and viewing history visualizes proficiency levels. Source: tebiki Tech Blog (https://techblog.tebiki.co.jp/2026/06/26/154458)

Q: What specific effects have been seen in manufacturing and logistics?

At companies such as Calbee and Kobe Steel, work standardization has progressed, reducing knowledge concentration risk and shortening newcomer training time. Source: tebiki Tech Blog (https://techblog.tebiki.co.jp/2026/06/26/154458) and https://tebiki.jp/case/index.html

Q: What points should be noted when introducing AI code generation tools?

Pre-evaluation of tool output quality verification, expansion of skill gaps within the team, and security risks is necessary. Source: tebiki Tech Blog (https://techblog.tebiki.co.jp/2026/06/26/154458)

Q: What is the first step in “building people” initiatives?

Begin by video-recording existing workflows and fostering a culture of team sharing and improvement. Source: tebiki Tech Blog (https://techblog.tebiki.co.jp/2026/06/26/154458)

Q: Is a tool like tebiki feasible for small and medium enterprises?

The SaaS format keeps initial investment low, and the point that on-site staff can create content themselves makes it suitable for SMEs. Source: tebiki Tech Blog (https://techblog.tebiki.co.jp/2026/06/26/154458)

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Comparison Table: Traditional OJT vs tebiki-Enabled OJT

Item	Traditional OJT	tebiki-Enabled OJT
Education Cost	High (knowledge concentration)	Low (standardization)
Multilingual Support	Difficult	Automatic for 100+ languages
Proficiency Visualization	None	Visualized via viewing history
Update Ease	Low	High (easy re-recording)
Knowledge Concentration Elimination	Slow	Rapid

Source: tebiki Tech Blog (https://techblog.tebiki.co.jp/2026/06/26/154458) and https://tebiki.jp/case/index.html

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