Amatsukaze
Launch of Consulting to Build AI-Native In-House Development Teams and Talent for Small Organizations

Amatsukaze Inc. has launched a consulting service to build AI-native in-house development teams and develop talent, enabling small development teams to achieve outsized results with AI coding agents. The service provides end-to-end support: from assessing your current development structure and skills, through designing AI-first development processes and launching in-house teams with hands-on guidance, to reskilling, talent development, and modernizing hiring criteria, coding tests, and evaluation for the AI era. It answers a core question for small and medium-sized enterprises (SMEs): how to keep development and operations running, and retain capability in-house, without being able to add headcount.
The Current Landscape: Talent Shortage and the Small-Team Productivity AI Coding Unlocks
Japan's IT talent shortage is no longer a passing phenomenon. The "Survey on IT Talent Supply and Demand" commissioned by the Ministry of Economy, Trade and Industry (published in 2019) estimates that, if IT demand grows along the high scenario, Japan could face a shortage of as many as roughly 790,000 IT professionals by 2030. Securing people who can work with AI and advanced technologies is especially difficult, and for SMEs the competition to win them in the hiring market grows tougher year after year.
At the same time, the productivity of the development floor itself is changing dramatically. AI coding agents that assist across design, implementation, review, and test authoring are spreading rapidly, and various developer surveys report that the vast majority of developers already use AI tools on a daily basis. Anthropic's "2026 Agentic Coding Trends Report" notes that software development is shifting from "writing code" to "orchestrating the agents that write code." By learning to direct these agents effectively, even small teams now have a real opportunity to raise their productivity substantially.
In short, the headwind of a talent shortage and the tailwind of small teams being able to deliver are blowing at the same time. What matters is not letting AI end as a "handy tool for individuals," but establishing it as the capability of a team and an organization — and that is exactly where deliberate organizational design becomes necessary.
Why AI-Native In-House Development and Organization-Building, and Why Now
The challenges facing SME development organizations fall into three categories.

- Talent and hiring shortages: Demand far exceeds supply for engineers who can master AI, and continuously securing ready-to-contribute talent within a limited hiring budget is far from easy. A design that grows results while staying small has become the realistic move.
- Key-person dependence and understaffed teams: With a one-person IT department or a small team, development, operations, and incident response concentrate on specific individuals, and work tends to become person-dependent. The absence or departure of that person turns directly into a business continuity risk.
- Outsourcing dependence that leaves no in-house knowledge: The more development is entrusted to outside parties, the more specifications and know-how stay outside the company, leaving no knowledge in-house. Unable to escape a structure that requires contacting the vendor for every modification, the organization loses room to move on both speed and cost.
These are not isolated problems; they occur in a chain under the single constraint of "not being able to add headcount." That is precisely why redesigning the development process itself around AI coding agents — and reshaping it into an in-house structure that runs even with a small team — is needed now.
Results You Can Expect
Working toward AI-native in-house development and organization-building can deliver the following benefits.
- Big results from a small team: With AI coding agents supporting day-to-day work such as drafting implementations, assisting reviews, and generating tests, a small team can achieve a development throughput that would otherwise have required far more hands.
- Accumulation of in-house know-how: By taking back the initiative in development, specifications, domain knowledge, and the operational instincts that matter accumulate as organizational assets, enabling modifications and new development to move quickly under your own lead.
- Optimization of outsourcing cost: By bringing routine operations and implementation in-house while carefully identifying only the areas that truly need outside help, you can optimize outsourcing spend from a "dependency" into a "strategic investment."
- Hiring and Evaluation Built for the AI Era: By renewing hiring, development, and evaluation around the ability to master AI and the judgment to assess AI output, you can reasonably identify and grow the people suited to an AI-first development organization.
How We Make It Happen
Amatsukaze supports you in stages — from grasping the current state, to building the structure, developing talent, and modernizing hiring and evaluation.
- Making the current development structure and skills visible: We take stock of existing development and operations flows, areas of key-person dependence, and the distribution of team members' skills, clarifying where AI should fill in and where people should lead. We design improvement priorities to fit the organization's real circumstances.
- Designing an AI-coding-agent-first development process: We embed agents such as Claude Code, Cline, Continue, Aider, and Copilot into your everyday development flow across IDE, terminal, and CI, designing a development process that runs design, implementation, review, and testing with AI as the premise.
- Launching in-house development teams with hands-on guidance: While working through real development projects together, we help your team take root in an AI-driven way of building. Rather than "train and done," we provide hands-on partnership that builds capability while producing results.
- Reskilling and talent development programs: Going beyond classroom learning, we provide programs that cultivate the ability to master AI coding agents within real work. We emphasize developing the ability to review and judge — never to take AI's suggestions at face value.
- Modernizing hiring criteria, coding tests, and evaluation for the AI era: We renew selection from the conventional approach of measuring syntax recall into hiring criteria, coding tests, and evaluation systems that assess the AI-premised ability to build, and the judgment to evaluate and improve what is generated.
Why Amatsukaze Is the Right Partner
The success of AI-native in-house development and organization-building hinges not simply on introducing tools, but on whether you can design the development process, people, and hiring and evaluation as a single integrated whole. Amatsukaze's strength is a structure that lets us work alongside you across all three.
- Expertise cultivated through robust infrastructure operations: We bring knowledge cultivated through the design of high-load, high-transaction systems and the construction and operation of robust infrastructure. We help you build a realistic, dependable development and operations structure that keeps the business running even with a small team — grounded in real operational experience.
- Hands-on capability to master AI coding agents: We have hands-on capability with the latest AI coding agents and agentic AI, translating them — not as theory on paper, but as real productivity across design, implementation, review, and testing — into work on the ground.
- End-to-end partnership from hiring and evaluation to in-house operations: We support everything under one roof — from establishing AI-era hiring criteria and evaluation, to talent development, and the launch and embedding of in-house development teams. Rather than "deploy and done," we work with you to build a mechanism in which capability stays in-house and keeps running.
Toward an AI-native development organization that runs even when small.
Even when you cannot add headcount, a small team can deliver more than you might expect once AI is on its side. To learn more about building AI-native in-house development, developing talent, and modernizing hiring and evaluation for the AI era, please reach out.
