Ensuring quality and accountability in the era of generative AI through traceability in development and operations.
How to ensure quality and accountability in the era of generative AI writing code. We will publish the operation of TechnoSphere, which leaves all work as evidence (audit trace) using Redmine, Growi, Obsidian, and Claude Code, along with examples of tracking and fixing actual form issues. For more details, please see the technical column in the related links.
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basic information
【Technical Elements】 - Development using Generative AI (Claude Code) - Traceability management using Redmine / Growi / Obsidian - Ensuring traceability of all work - Guaranteeing quality and accountability 【Category】AI Solutions / Traceability Management *This is operational know-how to ensure the quality and accountability of AI development.
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Applications/Examples of results
【Intended Use】 - Quality management of development utilizing generative AI - Contracted development requiring audits and accountability - Project operations that emphasize traceability 【Examples of Achievements】 - Tracked and corrected actual form defects based on evidence, ensuring accountability in AI development.
Company information
Technosphere Co., Ltd. is a system development company based in Osaka that tackles customer challenges in advanced technology areas such as AI, IoT, and web system development. Since its founding in 2021, the company has leveraged a flat team structure to achieve a flexible and speedy development style. We are engaged in solutions that directly address social issues, such as image inspection AI and smart factory support systems.
