Introduction Cloud cost management isn’t just about checking invoices once a month — it’s about embedding automation, governance, and insights into your infrastructure so that your engineering teams make cost-aware decisions in real time. With OCI, you have native tools (Cost Analysis, Usage APIs, Budgets, etc.) and infrastructure-as-code (IaC) tooling that can help turn cost … Continue reading Automating Cost-Governance Workflows in Oracle Cloud Infrastructure (OCI) with APIs & Infra...| Technology Geek
Introduction In many modern applications — e-commerce, media platforms, SaaS services — providing real-time personalized recommendations is a key differentiator. With OCI’s streaming, AI/ML and serverless capabilities you can build a recommendation engine that: In this article you’ll learn how to: 1. Architecture Overview Here’s a high-level architecture for our recommendation engine: 2. Setting Up … Continue reading Building a Real-Time Recommendation Engine on Oracle Cloud Infra...| Technology Geek
Lambda Layers are one of AWS Lambda’s most powerful yet underutilized features. While many developers use them for basic dependency sharing, there’s a wealth of optimization opportuniti…| Technology Geek
I’m excited to share something I’ve been working on—my new course, Prompt Engineering for Everyone. Whether you’re a seasoned developer or just curious about AI, this course is designed to change the way you interact with conversational AI. Why Prompt Engineering Matters I remember the first time I used an LLM (Large Language Model). I was amazed but I also quickly realized that my input had a profound effect on the quality and accuracy of the output. It’s not just about asking; it...| Programming Zen
A prompt injection cheat sheet for AI bot integrations| The seclify blog
Last month, I was having dinner with a group and someone at the table was excitedly sharing how they were using agentic AI to create and merge PRs for them, with some review but with a lot of trust and automation. I admitted that I could be comfortable with some limited uses for that, such … Continue reading Schneier on LLM vulnerabilities, agentic AI, and “trusting trust”→| Sutter’s Mill
LayerX のバクラク事業部の AI・機械学習部で機械学習エンジニアをしている島越（@nt_4o54）です。こちらはLayerX AI Agent ブログリレー 31 日目の記事です。 昨日は松村 (@yu__ya4)による「Langfuse の Experiment Runner SDK を利用した AI エージェント機能の性能評価と実験管理」でした。 無事にこのブログリレーも日付換算で一ヶ月を突破しました。過去のブログ記事も知見が溢れて...| LayerX エンジニアブログ
本記事では、LLMの「設計図」と「実際のふるまい」がどうズレているのか調べた取り組みを紹介します。 ChatGPTやClaudeといったLLMは、「モデル仕様書」と呼ばれるルールに沿って訓練されています。ところがこの仕様 […] The post LLMの設計仕様と挙動にはギャップがある モデルが自然に大事にしている価値観を探る first appeared on AIDB.| AIDB
本記事では、LLMが実在の人物をまねた「デジタルツイン」として本当に使えるのかを検証した大規模な研究を紹介します。 もしLLMが本人の代わりにアンケートや実験に答えられるなら、調査をより手軽に、速く、何度でも実施できるよ […] The post LLMは実在する人間の代わりに回答できる？人間デジタルツインとしての能力に迫る first appeared on AIDB.| AIDB
AGIという言葉は、AIが人間のようにあらゆる知的作業をこなせるようになった状態を指す言葉として広く使われています。しかし実際には、その定義は非常に曖昧です。 今回、AGIを10の認知領域に分けて評価する体系的な方法が提 […] The post AGIとは、どんな能力があるAIのことか？ first appeared on AIDB.| AIDB
LLMの実用性を高めるための手段としてRAGは注目されています。 しかし、RAGにおいてモデルに渡すべき情報は、実は使用するLLMによって異なる可能性があります。 本記事では、この「LLMによって異なる”情報の有用性”」 […] The post RAGで取得すべき情報はLLMごとの「データの有用性」で異なる first appeared on AIDB.| AIDB
本記事では、生成AIの導入が現場の開発者における「燃え尽き」に影響を与えているかを取り上げます。 生成AIツールは、私たちの働き方を大きく変えつつあります。多くの企業が「AIによって生産性が飛躍的に向上する」という期待の […] The post 生成AIは労働者やエンジニアの「燃え尽き」を起こす引き金になりうるのか？ first appeared on AIDB.| AIDB
本記事では、RAG（Retrieval-Augmented Generation）の仕組みと役割、そして今もなお注目されている理由を紹介します。最近のLLMは大幅に進化し、昔と比べて多くの問いに正確に答えられるようになっ […] The post LLM自体の性能が飛躍的に向上した今、RAGに求められることとは first appeared on AIDB.| AIDB
本記事では、LLMにプログラミングの相談をしたときに、回答をどれほど信頼できるのかをユニークな角度から考察した研究を紹介します。研究者らは「ダニング=クルーガー効果」、つまり知らない分野ほど人間は自信満々になってしまう心 […] The post 知らない分野ほど自信満々になってしまう現象はLLMによるプログラミングでも起きる？ first appeared on AIDB.| AIDB
本記事では、LLMを使った消費者調査の新しい手法を紹介します。新製品を開発する際、実際の消費者を集めて製品コンセプトを見せ、購買意欲を尋ねる調査には多額のコストがかかります。| AIDB
Kako modeli postaju sve precizniji, a količina poslovnih podataka sve veća, logično je očekivati AI koji će davati odgovore isključivo na temelju stvarnih i ažurnih podataka. Sve drugo je prevelik rizik. Stoga RAG postaje standard, objašnjava tech lead iz Factoryja.| Netokracija
Agentic AI has been the talk of the tech world in 2025. A quick query on Google Trends shows a 6100% uptick in Google searches for agentic AI in the last 12 months. Emergen Research anticipates that the Agentic AI market could be worth as much as $48.2 billion by 2030, with a compound annual ...| Nordic APIs
A few days ago I got a sensationally stupid email from one of those websites that most of us probably have a subscription to, but which I will not give the oxygen of publicity by linking to[1]. The subject line was: Your paper “NEURAL SPINE BIFURCATION…” is now an analogy. No; no, it’s not. Our […]| Sauropod Vertebra Picture of the Week
I’m sure you’ve seen numerous headlines similar to this: “XYZ offloads critical thinking, other hard work to AI,” or, “I Built an AI Fill-in-the-Blank.” Of course these end up spilling into daily conversations, with strangers, or remain in the back of your mind. Especially at work, this is a topic that never ceases to be […] The post My Relationship with an AI Code Editor appeared first on Atomic Spin.| Atomic Spin
GitHub Copilot and VS Code teams, along with the Microsoft Open Source Program Office (OSPO), sponsored these nine open source MCP projects that provide new frameworks, tools, and assistants to unlock AI-native workflows, agentic tooling, and innovation. The post Accelerate developer productivity with these 9 open source AI and MCP projects appeared first on The GitHub Blog.| The GitHub Blog
Discover how GitHub Copilot has evolved from a high-powered autocomplete tool to a powerful, multi-model agentic assistant. The post Copilot: Faster, smarter, and built for how you work now appeared first on The GitHub Blog.| The GitHub Blog
こんにちは。LayerX のバクラク事業部 AI・機械学習部でサマーインターンをしていました足利です。サマーインターンについてはこちら。 note.com こちらはLayerX AI エージェントブログリレー、29日目の記事です。 エンジニアにとって最も身近なAI AgentはClaude Codeなどのコーディングエージェントだと思います。 この記事では、コーディングエージェントに適した検索システ...| LayerX エンジニアブログ
La elección del modelo de lenguaje adecuado para aplicaciones específicas se ha convertido en un reto esencial para las organizaciones. Muchas veces, las decisiones se basan en evaluaciones improvisadas utilizando modelos populares, confiando en juicios de calidad subjetivos. Este enfoque puede llevar a decisiones precipitadas, pasando por alto errores sutiles y comportamientos inseguros que podrían […]| Administración de Sistemas
Core Idea| kubetools.io
For the first time ever, the Shift Conference is coming to Asia, landing in Kuala Lumpur in November 2025 - with a full focus on Copilots, Agents, and LLMs. The post Shift is Coming to Asia – and We’re Giving Away 10 Tickets! appeared first on ShiftMag.| ShiftMag
2022年末のOpenAI GPT公開以降、LLMをソフトウェアに組み込む流れが広がる中で、2023年6月のFunction callingの登場は画期的でした。これは出力形式をJSONで定義し、LLMの応答を構造化できる仕組みで、現在はStructured Outputとして発展しています。 しかし、Structured Outputを使うには毎回出力形式を定義する必要があり、ユーザー入力型のシステムでは困難です。LLMは柔軟な自然言語...| LayerX エンジニアブログ
この記事は LayerX AI Agent ブログリレー 15日目の記事です。 前日は izumin（@ izumin5210） さんによる Temporal Workflow で実現する Durable な AI Agent でした。ロングタスク化しやすいAI Agentに適したWorkflow Engine、アツいですね。 こんにちは、バクラク事業部ソフトウェアエンジニアのTomoaki（@tapioca_pudd）です。 最近は、AI-BPO事業の立ち上げと筋トレに奮闘しています。 BPO（Business Pro...| LayerX エンジニアブログ
We cannot assume that we are immune to falling into the traps of ✨ Technologies of Enchantment ✨| Librarian of Things
AI tools powered by large language models (LLMs) are rapidly emerging as an alternative to traditional search engines for information discovery. This shift The post How Accessibility Supercharges GEO and Future-Proofs Your Brand appeared first on Level Access.| Level Access
On the a16z AI podcast, Professor Vishal Misra discusses whether LLMs can go beyond modeling human language to make new … Continue reading Why LLMs Can’t *Invent* New Science| Department of Computer Science, Columbia University
I've made no particular secret of the fact that I am not a fan of large language models: they're overhyped, under deliver and were built off the back of a ripping off of others work at a scale that (for anyone else) would have resulted in jail and/or bankruptcy (even before the more incontrovertible acts of copyright infringement are considered). But, I also work in a industry which is going through a phase of significant AI use (even if a lot of companies do come to regret being over-eager)....| www.bentasker.co.uk
The number of lines of code in a method/function follows the same pattern in the three languages for which I have measurements: C, Java, Pharo (derived from Smalltalk-80). The number of methods containing a given number of lines is a power law, with an exponent of 2.8 for C, 2.7 for Java and 2.6 for […]| The Shape of Code
How GPT and other AI models really work, why they hallucinate, and what affects the quality of AI-generated content.| CyberSEO Pro
Mehr als ein Viertel aller kann sich eine Freundschaft mit einer KI vorstellen und bei den 16 – 29-Jährigen würde sogar mehr als die Hälfte bei bestimmten Themen lieber mit einer KI…| Linux-Magazin
Follow us on Bluesky, Twitter (X), Mastodon and Facebook at @Hackread| Hackread - Latest Cybersecurity, Hacking News, Tech, AI & Crypto
This is a standalone notebook implementing the popular byte pair encoding (BPE) tokenization algorithm, which is used in models like GPT-2 to GPT-4, Llama 3,...| Sebastian Raschka, PhD
Indirect prompt injection can poison long-term AI agent memory, allowing injected instructions to persist and potentially exfiltrate conversation history. The post When AI Remembers Too Much – Persistent Behaviors in Agents’ Memory appeared first on Unit 42.| Unit 42
Recently, I have been testing how well the newest generations of large language models (such as GPT-5 or Claude 4.5) handle natural language, specifically counting characters, manipulating characters in a sentences, or solving encoding and ciphers. Surprisingly, the newest models were able to solve these kinds of tasks, unlike previous generations of LLMs. Character manipulation LLMs handle individual characters poorly. This is due to all text being encoded as tokens via the LLM tokenizer and...| Tom Burkert
Artificial intelligence is increasingly becoming an essential part of everyday life, from how people search for information and write emails to how businesses assist customers and developers build software. At the heart of this ongoing AI revolution are AI Chatbots, […]| All Top Everything
There’s an LLM hiding in Chrome. Buried in the browser’s basement, behind a door with a “Beware of Leopard” sign. But I’ll show you how to find it. In a couple minutes…| Pete Warden's blog
Ihr wollt KI-Tools zum Schreiben nutzen, aber keine monatlichen Abo-Gebühren zahlen? Oder ihr möchtet eure Texte nicht in die Cloud laden? Dann sind lokale KI-Modelle die Lösung. Die laufen komplett auf eurem eigenen Rechner – ohne Internet, ohne Kosten, ohne Datenschutzbedenken. Und das Beste: Die Einrichtung ist kinderleicht.| Jörg Schieb | Digital und KI
Santa Clara, Calif. Oct 2, 2025 – Recently, NSFOCUS held the AI New Product Launch in Beijing, comprehensively showcasing the company’s latest technological achievements and practical experience in AI security. With large language model security protection as the core topic, the launch systematically introduced NSFOCUS’s concept and practices in strategy planning, scenario-based protection, technical products, and […] The post Building a Full-Lifecycle Defense System for Large Langua...| NSFOCUS, Inc., a global network and cyber security leader, protects enterpris...
Researchers from Anthropic, the UK AI Security Institute, and the Alan Turing Institute discovered that LLMs can be made vulnerable with just a small| Techzine Global
Discover how new Summarization and Translation features in EclecticIQ AI Suite 3.6 boost analyst productivity and streamline threat investigations.| blog.eclecticiq.com
Generative artificial intelligence with strong large language models (LLM) as available in ChatGPT, Gemini, Copilot, etc. or in locally running LLMs poses a challenge for the evaluation of student …| Finn Årup Nielsen's blog
Okay, the secret is out. David Brin is writing a book about AI. In fact, it is 3/4 done, enough to offer it to publishers. But more crucially, to start posting bits on-blog, getting feedback from the smartest community online.| CONTRARY BRIN
Voice-to-Voice AI with any LLM, leveraging Open Source SDKs| Daily API: Developer Tips to Build Real-time Voice, Video, and AI into Apps
Not that long ago, I tried to use Claude to customize Publii, the app I use to make this website. It didn't do so well. Literally the next day, Anthropic announced the Claude 4 family, and now Claude Sonnet 4.5 is out. Anthropic's unbiased opinion…| mattsayar.com
Large Language Models (LLMs) like LLaMA 2 and Mistral are often described as “black boxes”. This means that you can see the text you give them and the responses they produce, but their inner workings remain hidden. Inside the model, billions of weigh...| freeCodeCamp.org
Are your users searching for particular brands? Can we use LLMs for brand detection and use this to improve search & drive business? The post More Query Understanding: Brand Detection with LLMs appeared first on OpenSource Connections.| OpenSource Connections
You’ve probably been hearing a lot about AI and Large Language Models (LLMs) lately. But what exactly are they, and why is everyone talking about them? Let’s break it down in a simple way. Imagine having a conversation with a machine that not only understands what you’re saying but can also respond naturally, maybe even ... Read more| AI-Q
Introduction Artificial intelligence (AI) is central to Grab’s mission of delivering valuable, personalised experiences to millions of users across Southeast Asia. Achieving this requires a deep understanding of individual preferences, such as their favorite foods, relevant advertisements, spending habits, and more. This personalisation is driven by recommender models, which depend heavily on high-quality representations of the user. Traditionally, these models have relied on hundreds to th...| Grab Tech
OpenAI reportedly closes new $6.6B secondary sale at $500B valuation - SiliconANGLE| SiliconANGLE
My initial aim was to build a document processing model. But the idea was far fetched for my skill at the time. So, I settled down for building a toy version of visual language model for better understanding of VLM. I’m documenting my intuition for the benefit of myself and others. My model will receive image as an input and return its caption as an output. Luckily, I found a dataset with image and it’s caption to train.| Poonai's space
Today is the Ides of March by the old Roman reckoning. It is, of course, most famous as the day of the year when Julius Caesar was assassinated, but long before that it was a day of special importance on the Roman calendar: the traditional start of the campaigning season, when the winter rains (and snows in high country) were over, and the ground was dry enough for Roman legionaries to march forth and hack Gauls, Etruscans, or Samnites to pieces. This was the Roman national sport before they ...| Bondwine Books
Building AI applications that can interact with private data is a common goal for many organizations. The challenge often lies in connecting large language models (LLMs) with proprietary datasets. A combination of Heroku Managed Inference and Agents and LlamaIndex provides an elegant stack for this purpose. This post explores how to use these tools to build retrieval-augmented generation (RAG) applications. We'll cover the technical components, Use Cases and the development process, and how t...| Heroku
Snowflake recently released a suite of built-in functions that allow users to leverage AI functionality directly through SQL. These functions leverage powerful models (e.g. Anthropic, Meta, Arctic, etc) that are fully hosted inside Snowflake and can be used for a wide range of tasks. In... The post AI-Powered Airport Operations: Leveraging Snowflake and LLMs in Lost & Found items appeared first on InterWorks.| InterWorks
On September 20th, 2025, I spoke on a panel at THE LEGACY OF CCH CANADIAN LTD. v. LAW SOCIETY OF UPPER CANADA AND FUTURE OF COPYRIGHT LAW CONFERENCE 2025. Here is my talk.| Librarian of Things
DeepSeek's R1 open model launch caused quite a stir with one of the first open reasoning models. Here's how to run a demo of it locally on GKE! We can use an Nvidia L4 (or A100 40GB) to run the 8B Llama distilled model, or a A100 80GB to run the 14 and 32B Quen distilled models. I'll be pairing t| William Denniss
Stand back and take a look at the last two years of AI progress as a whole... AI is catching up with humans so quickly, in so many areas, that frankly, we need new tests.| New Atlas
Earlier this month, co-founder and CTO Suzanne Gildert left humanoid robotics company Sanctuary AI and her beloved Phoenix robot to focus full-time on AI safety, ethics and consciousness. We spoke to her just weeks before she departed.| New Atlas
I asked three different commercially available LLMs the same question: Which TLDs have the same name as valid HTML5 elements? This is a pretty simple question to answer. Take two lists and compare them. I know this question is possible to answer because I went through the lists two years ago. Answering the question was a little tedious and subject to my tired human eyes making no mistakes. So…| Terence Eden’s Blog
I recently got frustrated with Codex’s command permissions. They don’t let you configure which commands should always be allowed or denied. There’s an issue about it, but it’s …| rand[om]
Descubre y sigue un ejercicio Python con código completo para crear Aplicaciones LLM usando Langchain. Aprende a reutilizar prompts con Templates y Parsers, crea flujos de datos y herramientas para tus agentes.| Aprende Machine Learning
I have questions for folks using code assistants and other AI developer tooling. Don’t worry. These are workflow questions, not ethics questions. We can talk about those another time. ℹ️ Cognitive bias disclaimer If you answer, you’re talking to someone who usually puts air quotes around “AI.” I read every update from Ed Zitron beginning to end, often in one sitting. So not exactly a friendly audience. But I’m leaving the air quotes out today. So not an actively hostile audience...| HomeonRandom Geekery
This is an edited version of a post I wrote for the Liberis internal engineering blog - it is not particularly original, most of the ideas come directly from Simon Willison’s article “Lethal Trifecta for AI agents” - but I thought it was worth writing a summary for our engineers, and sharing it more widely. Bruce Schneier summarised the current Agentic AI situation in his blog: We simply don’t know how to defend against these attacks. We have zero agentic AI systems that are secure ag...| Korny's Blog
Ein Foto hochladen, einen Satz tippen, fertig – schon steht da eure hyperrealistische Action-Figur mit Verpackung und allem Drum und Dran. "Doll in a Box 2.0" erobert gerade TikTok und Instagram, und dahinter steckt Googles kostenlose KI "Nano Banana". Wir zeigen euch, wie ihr in wenigen Klicks zum digitalen Superhelden werdet.| Jörg Schieb | Digital und KI
Overview NSFOCUS LLM security solution consists of two products and services: the LLM security assessment system (AI-SCAN) and the AI unified threat management (AI-UTM), forming a security assessment and protection system covering the entire life cycle of LLM. In the model training and fine-tuning stage, the large language model security assessment system (AI-SCAN) plays a […] The post Dive into NSFOCUS LLM Security Solution appeared first on NSFOCUS, Inc., a global network and cyber securi...| NSFOCUS, Inc., a global network and cyber security leader, protects enterpris...
In our previous article, we explored how full-text search can stumble on long, natural-language prompts and how hybrid approaches—combining full-text, trigram, and semantic search—can restore relevance. But building a search engine that “works” is only the beginning. In this follow-up, we enter the Age of Refinement. Learning how to evaluate and optimize search performance for MCP systems. from practical tuning of full-text search strategies for improving semantic search, and, most im...| bitcrowd blog Blog
Après ces premières semaines de rentrée, je vous souhaite la bienvenue dans ce troisième article de notre série sur le traitement du langage naturel après avoir vu les n-grams et les embeddings. Au…| enioka
Learn how to query and ingest data in QuestDB using Large Language Models like Claude through REST APIs and PostgreSQL MCP servers. This post explores real-world examples of natural language interfaces, autonomous agents, and AI-assisted database interactions| QuestDB Blog
By Richard D. Harroch and Dominique A. Harroch Navigating your career path can be one of the most rewarding yet challenging aspects of life. From choosing a profession that aligns with your passions to making tough decisions about career transitions, the journey is full of pivotal moments that require thoughtful planning and execution. While mentors, colleagues, and self-reflection play vital roles in shaping your career, leveraging tools like ChatGPT can provide valuable, personalized guidan...| AllBusiness.com
A couple of days ago I spoke with a friend who was troubled by the case of Adam Raine, the sixteen-year-old who was counseled by a ChatGPT AI therapy chatbot into killing himself. That was of…| Economist Writing Every Day
. El Asistente Conversacional para Evaluación Ambiental corresponde a un instrumento digital de apoyo técnico, enfocado exclusivamente en la estandarización de impactos ambientales y su valoración mediante la metodología Conesa. Su diseño garantiza que los proyectos sujetos a licenciamiento ambiental en Colombia sigan los lineamientos de la Metodología General para estudios ambientales, aplicando las categorías… Leer más »Asistente Estandarización y Calificación de Impactos –...| estudioIAmbiental
The InfoQ Software Architecture and Design Trends for 2025 provides interesting insights about the state of software architecture, so let's take a look. One interesting take away is AsyncAPI.| Mozaic Works
Sometime around ChatGPT's initial release, everyone decided that Machine Learning (ML) is also going to be called 'AI' now. It's high time I learned a little bit more about creating machine learning models, so I thought it would be fun to make one trained on…| mattsayar.com
本記事では、主要なLLM事業者6社のプライバシーポリシーを分析した研究を紹介します。調査は、チャットでやり取りされたデータがどのように扱われているかを中心に行われました。| AIDB
Most testing prevents old bugs from returning. But what if we built systems where LLMs could actively discover new bugs instead?| Pierre Zemb's Blog
A few tries at an LLM analogy| jodavaho.io
This post introduces a convenient way to automate git commit using a custom slash command in Claude Code. Introduction Auto-Commit with a Custom Slash Command in Claude Code How to Do It Example Conclusion References Introduction Writing a good git commit message is important, but it can also be a t…| BioErrorLog Tech Blog (en)
This post is a quick memo on how to create custom slash commands in Claude Code. Introduction What Are Custom Slash Commands in Claude Code? How to Create Custom Slash Commands Basic Syntax and Example Commands Prompt Only Arguments Running Bash Commands File Reference Frontmatter Conclusion Referen…| BioErrorLog Tech Blog (en)
This is a quick memo on how to bulk delete all your chat history in Claude. Introduction How to Bulk Delete All Chats in Claude Steps Example Conclusion References Introduction Lately, I've been using Claude more often than ChatGPT. I couldn’t immediately figure out how to delete all chats in Claude…| BioErrorLog Tech Blog (en)
If you delete the chat where the image was generated, the corresponding image will also be deleted from the ChatGPT Library. Introduction How to Delete Images from ChatGPT Library Method Let’s Try It Conclusion Reference Introduction A new "Library" tab was recently added to ChatGPT. This tab shows …| BioErrorLog Tech Blog (en)
In this post, I’ll run a simple robot experiment on Raspberry Pi, combining a camera and servo motors with GPT-4 Vision. For Part 1, see: en.bioerrorlog.work Introduction Combining GPT-4 Vision with Raspberry Pi Concept Setup Hardware Software Results Conclusion References Introduction When I did ou…| BioErrorLog Tech Blog (en)
We'll conduct a simple experiment combining a camera, servo motors, and GPT on a Raspberry Pi. Introduction Combining GPT with Raspberry Pi, Camera, and Servo Motors Prototype Concept Setup Hardware Software Results Challenges Object Detection Token Usage Memory Retention Perceiving the World Conclu…| BioErrorLog Tech Blog (en)
We will create a shell command to quickly combine the contents of multiple files, including directory structure information, for LLM prompts. Introduction Shell Command to Concatenate Multiple Files for AI Coding Goal Command Implementation Examples Conclusion References Introduction When coding wit…| BioErrorLog Tech Blog (en)
This is a memo on how to implement an MCP server using Golang. Introduction Prerequisite: Is there an official Go MCP SDK? Implementing an MCP Server in Go The Target MCP Server Implementing the MCP server in Go Implementing the Tool Implementing the Resource Implementing the Prompt Testing the Serv…| BioErrorLog Tech Blog (en)
This guide summarizes how to use the MCP CLI. Introduction How to Use MCP CLI Installing MCP CLI List of MCP CLI Commands How to Use mcp run How to Use mcp dev How to Use mcp install Conclusion References Introduction MCP CLI is a tool included in the MCP SDK that helps MCP server development. This …| BioErrorLog Tech Blog (en)
This is a quick guide on how to use "MCP Inspector," a browser-based test tool for MCP servers. Introduction How to Use MCP Inspector Preparation: Set Up a Minimal MCP Server Launching MCP Inspector Using MCP Inspector Conclusion References Introduction MCP Inspector is an official browser-based tes…| BioErrorLog Tech Blog (en)
Use MCP to let an LLM play Minesweeper. Introduction Playing Minesweeper via MCP Overview Starting the Minesweeper Server Building the MCP Server Connecting Claude Desktop with MCP Server Letting Claude Play Minesweeper Conclusion References Introduction The combination of MCP and games is exciting.…| BioErrorLog Tech Blog (en)
This is a quick note to connect Claude Desktop to an MCP (Model Context Protocol) server. Introduction How to Connect Claude Desktop to an MCP Server 1. Add MCP Server Information to the Config File 2. Restart Claude Desktop Conclusion References Introduction Since Claude Desktop is made by Anthropi…| BioErrorLog Tech Blog (en)
Learn about AI agent patterns and practices from Anthropic’s article "Building effective agents" and its follow-up video. Introduction Background: What Is an AI Agent? AI Agent Patterns Augmented LLM Workflow: Prompt chaining Workflow: Routing Workflow: Parallelization Workflow: Orchestrator-workers…| BioErrorLog Tech Blog (en)
In this post, we'll connect GPT / OpenAI API with MCP (Model Context Protocol), and learn how MCP works. Introduction Recap: What is MCP? Connecting GPT to an MCP Server Implementing the MCP Server Implementing the MCP Client Running the MCP Client and Server Conclusion References Introduction Since…| BioErrorLog Tech Blog (en)
Claude Codeカスタムスラッシュコマンドで自動git commitすると便利だよという紹介です。 はじめに Claude Codeカスタムスラッシュコマンドで自動git commitする やり方 具体例 おわりに 参考 はじめに git commitメッセージは重要であると同時に、考えるのにワンテンポ要する作業でもあります。 Claude Codeカスタムスラッシュコマンドを活用することでこの作業を補佐できるので、...| BioErrorLog Tech Blog
Claudeでチャット履歴を全て一括削除する方法の備忘録です。 はじめに Claudeの全チャットを一括削除する やり方 実行例 おわりに 参考 はじめに 最近、ChatGPTよりもClaudeを使うことが多くなってきました。 Claudeで全チャットを一括削除する方法がパッとわからなかったので、やり方を残します(2025年9月時点の方法)。 The English translation of this post is here. Claudeの全チャットを...| BioErrorLog Tech Blog
Claude Codeのカスタムスラッシュコマンドの作り方の基本を備忘録にまとめます。 はじめに Claude Codeカスタムスラッシュコマンドとは何か カスタムスラッシュコマンドの作り方 主な文法とカスタムスラッシュコマンド例 プロンプトのみ 引数 bashコマンドの実行 ファイル参照 フロントマター おわりに 参考 はじめに 私は日頃Claude Codeを使ってコーディングしています。 ...| BioErrorLog Tech Blog
Getting different parties in the software industry to agree on a common standard is rare. Most of the time, a dominant player sets the rules. Occasionally, however, collaboration happens organicall…| Small Data And self service
When you talk to an AI assistant, it can feel like it remembers what you said before. But large language models (LLMs) don’t actually have memory on their own. They don’t remember conversations unless that information is given to them again. So, how ...| freeCodeCamp.org
When you talk to a large language model (LLM), it feels like the model understands meaning. But under the hood, the system relies on numbers, vectors, and math to find the relationships between words and sentences. One of the most important tools tha...| freeCodeCamp.org
So you’ve caught the Model Context Protocol (MCP) trend and decided that you want to expose an existing REST web service as MCP without writing a new service. What are your options? In this guide, let’s take a look at the options available as of The post How to Convert REST Web Service APIs to MCP first appeared on djitz.com.| djitz.com
