Technology | Fujitsu Launches AI Platform, Automating Software Development
By Newzvia
Quick Summary
Fujitsu Limited has launched its AI-Driven Software Development Platform, leveraging the Takane large language model and agentic AI to fully automate the software development lifecycle. The platform has demonstrated a significant 100-fold increase in productivity for software modifications, aiming to address critical industry challenges in Japan and globally.
Fujitsu Limited announced its AI-Driven Software Development Platform today, , aimed at fully automating the entire software development lifecycle from requirements to integration testing. The new platform leverages the company's Takane large language model (LLM) and agentic AI to significantly enhance productivity for businesses globally and in Japan.
Platform Automates Development Lifecycle
The newly launched platform, as announced by Fujitsu, is designed to streamline the software development process by automating all stages, from initial requirements gathering to final integration testing. This is powered by the Takane large language model, which was jointly developed with Cohere Inc. and is a state-of-the-art Japanese LLM, alongside advanced agentic AI technology from Fujitsu Research. According to the company, multiple AI agents collaborate to execute each stage of development, enabling full automation of large-scale software projects without human intervention.
Fujitsu has reported that the platform has already demonstrated a substantial 100-fold increase in productivity for software modifications. A task that typically required three person-months for conventional software development methods was dramatically shortened to just four hours in a Proof of Concept (PoC) related to updating software for 2024 medical fee revisions.
Company's Rationale and Japanese Focus
According to Fujitsu, the introduction of this AI-driven platform represents a strategic initiative to bring software development into the AI age and contribute to the sustainable growth of its customers and society. The platform is intended to address critical challenges facing Japan's system development industry, including severe talent shortages and the increasing complexity and sophistication of modern systems.
Fujitsu aims to utilise this platform to carry out revisions to all 67 types of medical and government business software products provided by Fujitsu Japan Limited by the end of fiscal year 2026. These revisions are necessitated by legal and regulatory changes. The platform has already been deployed in Japan since , specifically for software modifications required by the 2026 medical fee revisions. The company also highlighted a shift in the paradigm of software development from a conventional person-month-based approach to a customer value-based approach.
Global Context of AI Investment
This development from Fujitsu comes amidst a global surge in investment and innovation within the artificial intelligence sector. Major economies and technology giants are significantly increasing their spending on AI infrastructure and research. Leading US technology firms, including Amazon, Microsoft, Meta Platforms, and Alphabet, are projected to earmark close to $700 billion for AI infrastructure in 2026, nearly doubling the previous year's investment. Concurrently, India is also making strides, aiming to attract over $200 billion in AI infrastructure investment by 2028 with plans to establish itself as a global AI computing hub. This broader trend highlights the increasing strategic importance of AI across various industries, including software development.
Background on AI in Software Development
The application of artificial intelligence across the Software Development Lifecycle (SDLC) has been gaining momentum, with AI agents and copilots increasingly embedded into every stage, from requirements to operations. Fujitsu's Takane LLM itself has previously been piloted in a central government agency in Japan in to streamline public comment operations, automating tasks like classifying and summarising opinions. This demonstrates the growing capability of AI, particularly large language models and agentic AI, to handle complex, goal-oriented tasks autonomously in professional environments.
Availability
Specific details regarding the general commercial availability of the Fujitsu AI-Driven Software Development Platform for wider deployment beyond its targeted internal and governmental projects were not immediately disclosed in the announcement.
KEY TAKEAWAYS
- Fujitsu Limited launched its AI-Driven Software Development Platform on , automating the entire software development lifecycle.
- The platform utilises the Takane large language model, co-developed with Cohere, and agentic AI from Fujitsu Research.
- It has demonstrated a 100-fold increase in productivity for software modifications, reducing a three-person-month task to four hours.
- Fujitsu plans to use the platform for revisions to 67 types of medical and government software in Japan by the end of fiscal year 2026.
- This launch aligns with significant global investments in AI infrastructure and development.
PEOPLE ALSO ASK
- What is the Fujitsu AI-Driven Software Development Platform?
The Fujitsu AI-Driven Software Development Platform is a new system launched on , that uses the Takane large language model and agentic AI to automate the entire software development lifecycle, from requirements to integration testing, for enhanced productivity. - How much productivity increase has Fujitsu's platform shown?
According to Fujitsu, the platform has demonstrated a 100-fold increase in productivity for software modifications. It reduced a task that conventionally took three person-months to just four hours in a recent Proof of Concept. - What AI technologies does the platform use?
The Fujitsu AI-Driven Software Development Platform integrates the company's Takane large language model (LLM), co-developed with Cohere, and agentic AI technology from Fujitsu Research to perform its automation tasks. - What is the primary goal of this platform for Fujitsu?
Fujitsu aims to address critical challenges in Japan's system development industry, such as talent shortages and system complexity, by dramatically improving the speed of software modifications, especially those necessitated by legal and regulatory changes.
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