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SaaS / digital · Zenn 🇯🇵 Japan 5 posts · 5 authors · 2 sources

Knowledge graphs are emerging as a critical layer for AI agents to overcome 'fragmentation' and 'tool explosion' in enterprise settings.

LLM に渡しているのは、しばしば「パズルのピース」だけです。Confluence、Slack、Jira などから取った断片を、その場でつなぎ合わせるしかない設計では、正答率が安定しにくくなります。

The post argues that LLMs often struggle with complex tasks because they are given only 'puzzle pieces' (fragmented data) without a 'box art' (overall context). It proposes using knowledge graphs as a 'partial solution picture' to provide LLMs with structured context, improving accuracy and handling contradictions, especially in multi-agent and team-based AI scenarios.

For AI/ML engineers, enterprise SaaS developers, AI solution architects View source

SaaS / digital · Zenn 🇯🇵 Japan 3 posts · 3 authors

Japanese developers are adopting Codex App as a structured 'workbench' for AI-assisted development, moving beyond simple chat interfaces.

Codex App は、単なる「チャットでコードを書かせる画面」ではありません。うまく使うと、技術作業の作業台になります。

The post details how to use Codex App as a 'technical workbench' rather than just a chat interface, emphasizing structured workflows with separate threads for tasks, defined project scopes, and the use of screenshots for clearer communication. It also highlights its utility for non-engineers in preparing technical reports and clarifying issues for developers.

For SaaS founders, AI tool developers, developer tool companies, product managers. View source

SaaS / digital · Qiita 🇯🇵 Japan 2 posts · 2 authors · 2 sources

Senior engineers are drastically reducing manual coding with AI, shifting to 'thinking and judging' roles.

シニアエンジニアがコードをほぼ書かなくなった理由：AI活用で変わる業務効率化の現場

A senior engineer with over 10 years of experience shares how they reduced daily handwritten code to under 50 lines while tripling output by leveraging AI tools like GitHub Copilot and Claude. The post details a practical workflow including AI-generated design drafts, first-pass code reviews, automated test code, and simultaneous documentation generation, emphasizing a shift from 'writing' to 'thinking and judging'.

For Software development teams, AI tool developers, engineering managers View source

SaaS / digital · Qiita 🇯🇵 Japan 2 posts · 2 authors · 2 sources

Indie developer shares lessons from exposing internal data as public APIs for a niche market, highlighting common pitfalls.

個人で運営している中古バイク横断検索サービス「MotoHub」で、中古バイク市場のデータを外部提供するAPIを4本公開しました。

An individual developer running a used motorcycle search service, MotoHub, released four data APIs for the used bike market. The post details the design process of converting existing aggregation logic into APIs without breaking it, and shares three common pitfalls encountered during the process, along with a note on performance implications of public APIs.

For Indie SaaS founders, API developers, data product managers View source

SaaS / digital · Qiita 🇯🇵 Japan 2 posts · 2 authors

Educators are leveraging Google Apps Script and AI to automate feedback generation for student submissions.

GASでフォーム回答を読み取り、AIで個別フィードバック下書きを作り、スプレッドシートへ戻す流れを作ると、校務で使うAI活用の手順をコード込みで共有できます。

This post details how to use Google Apps Script (GAS) to automate the creation of AI-generated feedback drafts for student submissions received via Google Forms. It outlines a reproducible process for educators, emphasizing the use of server-side API key storage and limiting AI's role to drafting, not final comments.

For EdTech founders, SaaS developers, Google Workspace integrators, educators View source

SaaS / digital · Qiita 🇯🇵 Japan 2 posts · 2 sources

Japanese ad operators are rapidly adopting AI for efficiency, highlighting a growing demand for specialized AI tools in marketing.

生成AIを「試してみた」で終わらせずに業務効率化へ実際につなげるには、使う場面と型を最初に決めることが重要です。

The post outlines four practical applications of generative AI for advertising operations, such as drafting reports, generating ad copy, assisting data analysis, and summarizing competitive research. It emphasizes the importance of creating prompt templates, improving input data quality, and human review of AI outputs to maximize efficiency.

For SaaS founders, AI tool developers, marketing tech companies View source