vscode

"There is a need to write commit messages properly every time, but there is no one to review them. So, I created an operation to request a review of commit messages from ChatGPT."

Qiita ChatGPT

* Cited for critical analysis under Article 32.

Permalink Qiita ChatGPT

Cline: Revolutionizing AI-Powered Coding within VSCode

product #agent 📝 Blog|Analyzed: Mar 31, 2026 01:00•

Published: Mar 31, 2026 00:52

•

1 min read

•Qiita AI

Analysis

Cline is an exciting new open source AI coding Agent that operates directly within VSCode. Its support for multiple LLM providers, coupled with features like version-controlled custom instructions, makes it a powerful and flexible tool for developers. The approval-based workflow ensures you stay in control of the AI's actions.

Key Takeaways

•Cline is a free, open-source AI coding Agent that works within VSCode.
•It supports over 15 LLM providers, including Anthropic, OpenAI, and Ollama.
•The Agent uses an approval-based system, letting you review and authorize all actions.

Reference / Citation

"Cline（旧名：Claude Dev）は、VSCode拡張機能として動作するオープンソースのAIコーディングエージェントだ。"

* Cited for critical analysis under Article 32.

DEXTER: A Financial AI Agent Extension for VSCode Now Available!

product #agent 📝 Blog|Analyzed: Mar 29, 2026 05:00•

Published: Mar 29, 2026 04:48

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1 min read

•Qiita AI

Analysis

Exciting news! A new VSCode extension brings the financial AI research Agent DEXTER directly into your development environment. This allows users to chat with DEXTER, a powerful financial Generative AI, right within VSCode, streamlining research and analysis.

Key Takeaways

•The extension integrates the financial AI Agent DEXTER into VSCode.
•It features a chat interface, streaming progress display, and session persistence.
•The extension supports multiple LLMs like GPT-4.1, Claude, and Gemini.

Reference / Citation

"I made an extension that allows you to chat with the financial AI research Agent "DEXTER" in the center panel in the style of Claude Code, not the side panel of VSCode / Cursor."

* Cited for critical analysis under Article 32.

Claude's Agent Team: Setting Up Your AI Powerhouse!

product #agent 📝 Blog|Analyzed: Mar 26, 2026 01:00•

Published: Mar 25, 2026 21:44

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1 min read

•Zenn Claude

Analysis

This article details the setup process for Claude's Agent team, providing a practical guide for users looking to leverage the power of Generative AI. It showcases how to integrate AI agents using WSL2, Git Bash, and VSCode, opening the door to exciting possibilities in multi-agent systems and independent projects.

Key Takeaways

•The article provides step-by-step instructions for setting up Claude's Agent team on Windows and Linux (WSL2).
•It emphasizes the use of VSCode extensions for a streamlined user experience.
•The guide focuses on enabling users to build a 'one-person company' leveraging the power of multiple AI Agents.

Reference / Citation

"I want to do a one-person company with multi-agents."

* Cited for critical analysis under Article 32.

Supercharge Your Coding with Vite+ and VSCode!

infrastructure #agent 📝 Blog|Analyzed: Mar 22, 2026 23:45•

Published: Mar 22, 2026 16:47

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1 min read

•Zenn Claude

Analysis

This article introduces how to use Vite+, a fast integrated toolchain, within VSCode, optimizing the coding experience. It leverages the power of TypeScript directly with Node.js and integrates it into a Dev Container setup, offering a streamlined development environment. This approach promises faster performance and enhanced developer workflows.

Key Takeaways

•Vite+ is a fast integrated toolchain for enhanced coding.
•It supports TypeScript execution directly within Node.js.
•The setup is designed for use within a Dev Container environment.
•Install the Vite Plus Extension Pack into your VSCode environment.

Reference / Citation

"The article focuses on utilizing Vite+ for coding with VSCode and coding agents, choosing TypeScript for scripting within the environment."

* Cited for critical analysis under Article 32.

Supercharge Your Coding with Cline: An AI-Powered VSCode Extension

product #agent 📝 Blog|Analyzed: Mar 9, 2026 04:15•

Published: Mar 9, 2026 04:01

•

1 min read

•Qiita AI

Analysis

Cline is revolutionizing coding by integrating AI directly into Visual Studio Code. This free extension allows AI to assist with writing, editing, and executing commands, all while providing user control over the changes. It's a fantastic tool for anyone looking to harness the power of AI in their development workflow.

Key Takeaways

•Cline is a free VSCode extension that helps write, edit, and execute code using AI.
•It supports various AI models, including those from Anthropic, OpenAI, and Google.
•Users can easily install Cline and start experimenting with AI-assisted coding.

Reference / Citation

"Cline is a VSCode extension called an 'autonomous AI coding agent'."

* Cited for critical analysis under Article 32.

Boost Your Claude CLI Workflow with the New VSCode Extension: Terminal Session Recall!

product #llm 📝 Blog|Analyzed: Mar 7, 2026 16:00•

Published: Mar 7, 2026 15:33

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1 min read

•Zenn AI

Analysis

The innovative 'Terminal Session Recall' extension for VSCode is a game-changer for Claude Code CLI users. This tool elegantly solves the common problem of lost terminal sessions upon VSCode restarts by automatically restoring them. The user-friendly design, with its status bar integration, makes managing multiple Claude sessions incredibly convenient.

Key Takeaways

•Automatically restores Claude CLI sessions upon VSCode restart, saving time and effort.
•Features a convenient status bar interface for easy session management.
•Supports automatic restoration of sessions within the last 24 hours.

Reference / Citation

"Terminal Session Recall is an extension that automatically restores Claude Code CLI sessions running on the integrated terminal of VSCode."

Zenn AI

* Cited for critical analysis under Article 32.

Permalink Zenn AI

Revolutionizing Development: Gemini Code Assist's Specification-Driven Workflow

product #agent 📝 Blog|Analyzed: Feb 10, 2026 15:30•

Published: Feb 10, 2026 15:26

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1 min read

•Qiita AI

Analysis

This article unveils an exciting new approach to system development, leveraging the power of Gemini Code Assist to synchronize specifications and code. The innovative methodology described focuses on evolving the 'specification itself,' promising a more streamlined and accurate development process. It's a game-changer for anyone looking to optimize their AI-assisted coding workflows!

Key Takeaways

•The core idea is to have the AI update the specification document first, before generating code.
•The article provides a step-by-step guide using VSCode and Gemini Code Assist.
•This approach aims to improve the consistency between the specification and the code.

Reference / Citation

"In short, instead of immediately generating code with AI, we first update the specification, and then write the code based on that specification."

* Cited for critical analysis under Article 32.

Zed: The Lightning-Fast Code Editor Supercharging AI Agent Development

product #agent 📝 Blog|Analyzed: Feb 5, 2026 09:00•

Published: Feb 5, 2026 08:01

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1 min read

•Zenn Claude

Analysis

Get ready to experience a revolution in AI Agent development! Zed, a blazing-fast code editor built in Rust, is poised to take on VSCode, promising drastically improved performance and a suite of features designed to streamline the coding experience for AI-powered projects. With its focus on speed, native integration, and AI-friendly features, Zed is positioning itself as the go-to platform for developers.

Key Takeaways

•Zed boasts impressive performance benchmarks, outperforming VSCode in areas like startup time and project loading.
•It integrates seamlessly with Anthropic's Claude Code AI Agent, enhancing the AI development workflow.
•The editor features built-in support for real-time collaboration and a native Git interface for improved developer experience.

Reference / Citation

"2026年春、Zedは1.0正式リリースを迎えます。"

* Cited for critical analysis under Article 32.

Developer's Journey: From Terminal Dreams to VSCode Triumph

product #vscode 📝 Blog|Analyzed: Feb 4, 2026 20:31•

Published: Feb 4, 2026 10:37

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1 min read

•Zenn Claude

Analysis

This piece explores a developer's experiment with alternative terminal-based coding environments, highlighting the allure of tools like Ghostty and lazygit. While the initial exploration proved challenging, the journey illuminates the enduring strengths of VSCode, showcasing its powerful features and the ecosystem of extensions that enhance developer productivity.

Key Takeaways

•The article documents a developer's experiment with a terminal-centric development workflow.
•The author found the speed of Ghostty and the Git interface of lazygit appealing.
•Ultimately, VSCode's features and ecosystem proved too valuable to abandon.

Reference / Citation

"The terminal environment's goodness was understood, but the cost of switching was too high."

* Cited for critical analysis under Article 32.

Keep Your AI Training Running: Seamless Learning in VSCode

infrastructure #gpu 📝 Blog|Analyzed: Jan 31, 2026 01:00•

Published: Jan 31, 2026 00:50

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1 min read

•Qiita ML

Analysis

This article offers a practical solution for developers who experience interruptions during the long training processes of AI models. By leveraging Docker and process detachment, it ensures that your models continue learning even when your VSCode sessions are closed. This is a game-changer for anyone working with resource-intensive AI models.

Key Takeaways

•Solves the issue of interrupted AI model training when using VSCode and remote SSH connections.
•Uses a two-step approach: detaching the Docker container and then detaching the learning process.
•Ensures continuous model training even after closing VSCode.

Reference / Citation

"The core problem is that the learning process is linked to the VSCode session."

Qiita ML

* Cited for critical analysis under Article 32.

Permalink Qiita ML

Interactive AI: MCP Apps Revolutionizes Chat Interfaces with Embedded UIs

product #llm 📝 Blog|Analyzed: Feb 14, 2026 03:43•

Published: Jan 29, 2026 12:44

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1 min read

•Qiita AI

Analysis

MCP Apps marks a significant leap, allowing interactive UI elements like dashboards and forms directly within AI chats. This functionality, currently available for Claude, ChatGPT, and VSCode, transforms text-based conversations into dynamic visual experiences. This evolution promises to enhance data visualization, form input, and real-time monitoring within AI applications.

Key Takeaways

•MCP Apps enables the display of interactive UI elements (dashboards, forms, graphs) within AI chat interfaces.
•This feature is currently supported on Claude, ChatGPT, and VSCode.
•The implementation uses a server tool with UI resource declarations to display the interactive components.

Reference / Citation

"MCP Apps allows you to embed interactive UIs (dashboards, forms, graphs, etc.) within AI chats."

* Cited for critical analysis under Article 32.

Boost Your Writing with AI: Refinement in VSCode

product #llm 📝 Blog|Analyzed: Feb 14, 2026 03:47•

Published: Jan 26, 2026 09:10

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1 min read

•Qiita AI

Analysis

This article highlights an exciting application of Generative AI within the familiar environment of VSCode and Markdown. The integration of AI for refining text promises to significantly improve the writing process, making it easier to create polished EPUB and PDF outputs. This approach democratizes professional-quality document creation.

Key Takeaways

•Leveraging AI within VSCode.
•Focus on improving writing for publication.
•Creating EPUB and PDF outputs.

Reference / Citation

"The article discusses the application of Generative AI for refining text in VSCode and Markdown."

* Cited for critical analysis under Article 32.

Implementing a Two-Layer Neural Network: A Practical Deep Learning Log

research #neural network 📝 Blog|Analyzed: Jan 12, 2026 09:45•

Published: Jan 12, 2026 09:32

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1 min read

•Qiita DL

Analysis

This article details a practical implementation of a two-layer neural network, providing valuable insights for beginners. However, the reliance on a large language model (LLM) and a single reference book, while helpful, limits the scope of the discussion and validation of the network's performance. More rigorous testing and comparison with alternative architectures would enhance the article's value.

Key Takeaways

•The article documents the implementation of a two-layer neural network.
•The implementation uses a specific reference book as a guide.
•The development environment is VScode with Python extensions.

Reference / Citation

"The article is based on interactions with Gemini."

* Cited for critical analysis under Article 32.

Demystifying Neural Networks: A Deep Dive into Gradient Descent

research #neural network 📝 Blog|Analyzed: Feb 14, 2026 03:59•

Published: Jan 11, 2026 10:29

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1 min read

•Qiita DL

Analysis

This article offers a practical guide to understanding the gradient calculations within a single-layer neural network, using a hands-on approach. The use of a popular deep learning textbook and a defined development environment provides a clear pathway for learners to replicate the work. It is an excellent resource for those starting their journey into the world of deep learning.

Key Takeaways

•The article is based on interactions with Gemini.
•It utilizes a textbook for theoretical understanding.
•It specifies the development environment used: VScode + Python + Anaconda.

Reference / Citation

"Based on dialogue with Gemini, the article is structured."

* Cited for critical analysis under Article 32.

NumPy Deep Learning Log 6: Mastering Multidimensional Arrays

infrastructure #numpy 📝 Blog|Analyzed: Jan 10, 2026 04:42•

Published: Jan 10, 2026 00:42

•

1 min read

•Qiita DL

Analysis

This article, based on interaction with Gemini, provides a basic introduction to NumPy's handling of multidimensional arrays. While potentially helpful for beginners, it lacks depth and rigorous examples necessary for practical application in complex deep learning projects. The dependency on Gemini's explanations may limit the author's own insights and the potential for novel perspectives.

Key Takeaways

•Article discusses NumPy's handling of multidimensional arrays.
•Content is based on a conversation with the Gemini AI.
•The development environment is VScode + Anaconda.

Reference / Citation

"When handling multidimensional arrays of 3 or more dimensions, imagine a 'solid' in your head..."

* Cited for critical analysis under Article 32.

Numerical Differentiation: A Deep Dive into Multi-Variable Calculus

research #deep learning 📝 Blog|Analyzed: Feb 14, 2026 03:49•

Published: Jan 8, 2026 14:43

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1 min read

•Qiita DL

Analysis

This article explores numerical differentiation, a fundamental concept for understanding multi-variable calculus, aided by interactions with Gemini. The focus on practical application, referencing "Zero to Deep Learning" provides a solid foundation in the principles of deep learning.

Key Takeaways

•The article utilizes interactions with Gemini, showcasing its practical application.
•The material is structured based on a well-regarded reference book.
•The development environment is VScode with Python extensions.

Reference / Citation

"This is based on interactions with Gemini."

* Cited for critical analysis under Article 32.

Analyzing the Adoption of Claude Code within a Dockerized VS Code Environment

Product #Code Generation 👥 Community|Analyzed: Jan 10, 2026 15:02•

Published: Jul 11, 2025 15:11

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1 min read

•Hacker News

Analysis

The article likely explores the practical application of AI code generation tools like Claude Code within a common development setup. The use of Docker suggests a focus on reproducible environments and potentially collaborative workflows.

Key Takeaways

•Focuses on practical aspects of using AI code assistants within a development environment.
•Highlights the use of Docker for environment management and reproducibility.
•Indicates a possible trend toward integrating AI tools into established developer workflows.

Reference / Citation