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はじめに はじめまして。KINTOテクノロジーズでAndroidアプリ開発を担当しているJongSeokです。 ある日、資料を整理していて、Google Sheets に内容を移しながら整えていると、ふとこう思いました。 「これ、めっちゃ面倒くさくない……？」 同じような内容を何度も入力して、セルのフォーマットも整えて…… 難しくはないけれど、これって本当に人間がやるべきことなんだろうか？と感じました。 そこで、最近よく目にするAIツールで自動化できないか調べてみたところ、 出会ったのが MCP（Model Context Protocol） でした。 いくつかのツールを試してみた結果、 なんと自然言語の「一行だけ」で Google Sheets を操作できました。 この体験は、正直かなり衝撃的でした。 MCPとは？ MCPは「Model Context Protocol」の略です。 名前
My name is Yuya Sakamaki from KINTO Technologies. I am usually involved in anything from data analysis to proposing strategies, and developing features using machine learning. Previously, I was in charge of AI functional development at Prism Japan. I conducted an internal comparison test of Cursor and GitHub Copilot, and I would like to share the results with you. Premise At KINTO Technologies, th
Introducing an evaluation system into generative AI application development to improve accuracy: Initiatives to automate database design reviews Hello. We are @p2sk and @hoshino from the DBRE team. The DBRE (Database Reliability Engineering) team is a cross-functional organization focused on resolving database (DB) issues and developing platforms. In this article, we introduce an automatic review
Introduction I'm Wu from the Global Development Group. I usually work as a project manager for web and portal projects. I recently started going to the boxing gym again. I want to work hard on muscle training and dieting! We introduced a heat map tool called Clarity from Microsoft to the website we are developing, so I'd like to talk about it. Background The global expansion of the mobility servic
Hello, I am _awache (@_awache), from DBRE at KINTO Technologies (KTC). In this article, I’ll provide a comprehensive overview of how I implemented a safe password rotation mechanism for database users primarily registered in Aurora MySQL, the challenges I encountered, and the peripheral developments that arose during the process. To start, here's a brief summary, as this will be a lengthy blog pos
A system for efficiently reviewing code and blogs: Introducing PR-Agent (Amazon Bedrock Claude3) Hello. I'm @hoshino from the DBRE team. In the DBRE (Database Reliability Engineering) team, our cross-functional efforts are dedicated to addressing challenges such as resolving database-related issues and developing platforms that effectively balance governance with agility within our organization. D
Building an AWS Serverless Architecture Using Nx Monorepo Tool and Terraform I tried building an AWS Serverless Architecture with Nx and terraform! Hello. I'm Kurihara, from the CCoE team at KINTO Technologies and I’m passionate about creating DevOps experiences that bring joy to developers. As announced at the AWS Summit Tokyo 2023: our DBRE team’s approach to both agility and governance of our v
Developing a System to Investigate Lock Contention (Blocking) Causes in Aurora MySQL Hello. I am @p2sk from the DBRE team. In the DBRE (Database Reliability Engineering) team, our cross-functional efforts are dedicated to addressing challenges such as resolving database-related issues and developing platforms that effectively balance governance with agility within our organization. DBRE is a relat
Introduction Hello. I’m Shimamura from the Platform Group’s Operation Tool Management Team, where I work in platform engineering, focusing on tool development and operations. I'm Yamada, also part of the Platform Group’s Operation Tool Management Team, where I focus on developing in-house tools. At KINTO Technologies, we utilize Amazon ECS + Fargate as our application platform. For CI/CD, we use G
ChatGPT (GPT-4) Advanced Data Analysis (formerly Code Interpreter), how to output graphs, images, and PDF files with Japanese fonts to analyze X (formerly Twitter) Introduction Last weekend, original article published on Jul 2023, there was an announcement from OpenAI, and a ChatGPT (GPT-4) function called Code Interpreter was released. It is a convenient service programmed in Python that allows y
August 1, 2025 AWS Bedrock Guardrailsの導入取り組み:前編-生成AIセキュリティの必要性
Aurora MySQL でレコードが存在するのに SELECT すると Empty set が返ってくる事象を調査した話 こんにちは。 KINTO テクノロジーズの DBRE チーム所属の@p2skです。 DBRE（Database Reliability Engineering）チームでは、横断組織としてデータベースに関する課題解決や、組織のアジリティとガバナンスのバランスを取るためのプラットフォーム開発などを行なっております。DBRE は比較的新しい概念で、DBRE という組織がある会社も少なく、あったとしても取り組んでいる内容や考え方が異なるような、発展途上の非常に面白い領域です。 弊社における DBRE の取り組み例としては、あわっち（@_awache）による DBRE ガードレール構想の実現に向けた取り組みについてというテックブログや、今年の AWS Summit の登壇内容を
Efforts to Improve Deploy Traceability to Multiple Environments Utilizing GitHub and JIRA Introduction I am Kanaya, a member of the KINTO FACTORY project, a service that allows you to renovate and upgrade your car. In this article, I will introduce our efforts to improve Deploy Traceability to Multiple Environments Utilizing GitHub and JIRA. Last time, I also wrote an article related to Remote Mob
Introductory Remarks and Self-Introduction My name is Ikeda, and I'm in charge of front-end development at KINTO Technologies. Recently, I've been involved in the development and operation of KINTO ONE and the launch of new services and projects. Introductory Remarks Recently, various JS frameworks are emerging, such as React, Vue.js, AngularJS, Preact and Ember. Svelte and Solid are two that have
Creating a Development Environment Using VS Code's Dev Container A sequel article has been posted 🥳🎉 (June 8, 2023): [Sequel! Dev Container] Creating a cloud development environment with GitHub Codespaces . Introduction Hello. Torii here, from the team[^1][^2] Common Services Development Group that develops payment platforms used by multiple services. Finding your IDE doesn't work even though yo
予防的ガードレール 発見的ガードレール 訂正的ガードレール ガードレール構想 導入当初の段階から予防的ガードレールによって強い制限を適用してしまうとこれまでできていたことや、やりたいことができなくなることで現場のエンジニアの反発や疲弊に繋がる可能性があります。 逆に訂正的ガードレールによって自動修復を行ってしまうと何が不適切だったのか、不適切な設定をどのように直していくのかを考えるというエンジニアのスキル向上の機会を失わせてしまうこともあるかと思います。 だからこそ現在は可能な限り利用者の自由を確保し、ガバナンスコントロールを実現するための地盤固めのフェーズだと思っています。その上で「発見的ガードレール」を取り入れることが望ましいと考えています。 現在 KTC では DEV/STG/PROD の 3ステージ制を導入しているため発見的ガードレールによってリスクを検知の周期を Daily で回
By Ikki Ikazaki, MLOps/Data Engineer in Analysis Group This is the second part in a multi-part series on how KINTO Technologies Corporation(KTC) developed a system and culture of Machine Learning Operations(MLOps). The first part was How We Define MLOps in KTC. The two subsequent posts will be about SageMaker Experiments to track the experiments conducted by data scientists, and "Benkyo-kai", a se
Schema-first Development with Protocol Buffers, GraphQL Schema, and Swagger Spec Introduction I am Aoi Nakanishi, lead engineer of KINTO FACTORY at KINTO Technologies. The KINTO FACTORY project is redesigning the system with a view to service growth of supported vehicle models and products, as well as nationwide expansion. This project also incorporates with modern technologies and development wor
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