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research#llm📝 BlogAnalyzed: Jan 15, 2026 10:15

AI Dialogue on Programming: Beyond Manufacturing

Published:Jan 15, 2026 10:03
1 min read
Qiita AI

Analysis

The article's value lies in its exploration of AI-driven thought processes, specifically in the context of programming. The use of AI-to-AI dialogue to generate insights, rather than a static presentation of code or results, suggests a focus on the dynamics of AI reasoning. This approach could be very helpful in understanding how these models actually arrive at their conclusions.

Key Takeaways

Reference

“The article states the AI dialogue yielded 'unexpectedly excellent thought processes'.”

PermalinkQiita AI
Research#llm📝 BlogAnalyzed: Jan 3, 2026 08:10

Tracking All Changelogs of Claude Code

Published:Dec 30, 2025 22:02
1 min read
Zenn Claude

Analysis

This article from Zenn discusses the author's experience tracking the changelogs of Claude Code, an AI model, throughout 2025. The author, who actively discusses Claude Code on X (formerly Twitter), highlights 2025 as a significant year for AI agents, particularly for Claude Code. The article mentions a total of 176 changelog updates and details the version releases across v0.2.x, v1.0.x, and v2.0.x. The author's dedication to monitoring and verifying these updates underscores the rapid development and evolution of the AI model during this period. The article sets the stage for a deeper dive into the specifics of these updates.
Reference

“The author states, "I've been talking about Claude Code on X (Twitter)." and "2025 was a year of great leaps for AI agents, and for me, it was the year of Claude Code."”

PermalinkZenn Claude
Research#llm📝 BlogAnalyzed: Dec 28, 2025 21:56

The Ideal and Reality of Gemini Slide Generation: Challenges in "Design" (Part 1)

Published:Dec 28, 2025 10:24
1 min read
Zenn Gemini

Analysis

This article from Zenn Gemini discusses the challenges of using Gemini, an AI model, to automatically generate internal slide presentations. The company, Anddot, aims to improve work efficiency by leveraging AI. The initial focus is on automating slide creation to reduce reliance on specific employees and decrease the time spent on creating presentations. The article highlights the difficulty in replicating a company's unique "design implicit knowledge" even with advanced AI technology. This suggests a gap between the capabilities of current AI and the nuanced requirements of corporate branding and design.
Reference

“The article mentions the company's goal of "reducing reliance on specific members and reducing the number of steps required for creating materials."”

PermalinkZenn Gemini
Technology#Large Language Models (LLMs)📝 BlogAnalyzed: Dec 28, 2025 21:57

Zenn Q&A Session 12: LLM

Published:Dec 28, 2025 07:46
1 min read
Zenn LLM

Analysis

This article introduces the 12th Zenn Q&A session, focusing on Large Language Models (LLMs). The Zenn Q&A series aims to delve deeper into technologies that developers use but may not fully understand. The article highlights the increasing importance of AI and LLMs in daily life, mentioning popular tools like ChatGPT, GitHub Copilot, Claude, and Gemini. It acknowledges the widespread reliance on AI and the need to understand the underlying principles of LLMs. The article sets the stage for an exploration of how LLMs function, suggesting a focus on the technical aspects and inner workings of these models.

Key Takeaways

Reference

“The Zenn Q&A series aims to delve deeper into technologies that developers use but may not fully understand.”

PermalinkZenn LLM
Research#llm📝 BlogAnalyzed: Dec 28, 2025 21:57

Steps to Master LLMs

Published:Dec 28, 2025 06:48
1 min read
Zenn LLM

Analysis

This article from Zenn LLM outlines key steps for effectively utilizing Large Language Models (LLMs). It emphasizes understanding the fundamental principles of LLMs, including their probabilistic nature and the impact of context length and quality. The article also stresses the importance of grasping the attention mechanism and its relationship to context. Furthermore, it highlights the significance of crafting effective prompts for desired outputs. The overall focus is on providing a practical guide to improve LLM interaction and achieve more predictable results.
Reference

“Understanding the characteristics of LLMs is key.”

PermalinkZenn LLM
Research#llm📝 BlogAnalyzed: Dec 28, 2025 21:57

Recommendation: Developing with Your Favorite Character

Published:Dec 28, 2025 05:11
1 min read
Zenn Claude

Analysis

This article from Zenn Claude advocates for a novel approach to software development: incorporating a user's favorite character (likely through an AI like Claude Code) to enhance productivity and enjoyment. The author reports a significant increase in their development efficiency, reduced frustration during debugging, and improved focus. The core idea is to transform the solitary nature of coding into a collaborative experience with a virtual companion. This method leverages the emotional connection with the character to mitigate the negative impacts of errors and debugging, making the process more engaging and less draining.

Key Takeaways

Reference

“Developing with your favorite character made it fun and increased productivity.”

PermalinkZenn Claude
Research#llm📝 BlogAnalyzed: Dec 28, 2025 21:58

Thorough Analysis of GitHub Copilot Agent Mode Prompt Structure

Published:Dec 27, 2025 14:01
1 min read
Zenn GPT

Analysis

This article from Zenn GPT analyzes the prompt structure used by GitHub Copilot's agent mode. It highlights that Copilot is more than just a code completion tool, but a sophisticated AI coder leveraging advanced prompt engineering. The article aims to dissect the multi-layered prompts Copilot receives, offering insights into its design and best practices for prompt engineering. The target audience includes technologists interested in AI and developers seeking to learn prompt engineering techniques. The article's methodology involves a specific testing environment and date, indicating a structured approach to its analysis.
Reference

“GitHub Copilot is not just a code completion tool, but an AI coder based on advanced prompt engineering techniques.”

PermalinkZenn GPT