LLM

Introduction: In 2026, Will We Still Be Writing Code Based on “Vibes”? “I gave the AI instructions, but the code it returned wasn’t what I expected.” This remains one of the most universal challenges facing modern engineers. Currently, much of AI utilization stays within the realm of “Vibe Coding”—the uncertain process of throwing vague prompts at a model and praying for a lucky output. A decisive solution to break this status quo is now drawing the attention of engineers worldwide. It is “skills,” a collection of essential expertise for Claude directories (.claude) released by Matt Pocock, a renowned authority in the TypeScript community. This is not merely a collection of prompt fragments. It is an “OS for the development process” designed to transform AI agents from “passive tools waiting for instructions” into “autonomous senior engineers.” ...

Introduction: “Information Filtering” to Survive the Era of Information Explosion In the modern business landscape, the flood of information has become a daily reality. Constant tech news updates, lengthy press releases, and endless meeting minutes—consuming all of this to extract the essence constantly robs humans of the time they should be spending on “creative thinking.” To address this, I propose building a custom automatic summarization tool by combining Python with “Claude API,” the LLM (Large Language Model) provided by Anthropic. While using existing SaaS solutions is one option, calling the API yourself to build a tool optimized for your specific workflow provides a “strategic advantage” that goes beyond mere efficiency. ...

“The Ultimate Reinvention”: Building Systems from Scratch. GitHub’s 250k-Star ‘build-your-own-x’ Awakens the Core of Engineering “In an era where AI generates code, why bother learning the low-level layers?” If you have ever asked yourself this question, the answer might be the defining “survival strategy” in modern engineering. Today, assembling “something that works” by combining libraries has never been easier. However, when a system exhibits unexpected behavior or when you are forced to squeeze out every drop of performance, what separates an engineer’s fate is their “resolution”—their level of understanding of what is happening beneath the veil of abstraction. ...

Breaking the Constraints of Anthropic’s “Claude Code”: The Paradigm Shift in Development Environments via the “free-claude-code” Proxy Emulator In the vanguard of AI engineering, Anthropic’s “Claude Code” has made a significant impact as a formidable agent capable of autonomously refining and fixing code directly within the terminal. However, behind its exceptional performance lies a financial barrier: the usage-based billing of the Anthropic API. By their very nature, autonomous agents consume a vast number of tokens during the process of trial and error, forcing developers to operate with a constant eye on the “billing meter.” ...

The End of Vibe Coding: “Harness Engineering” to Physically Restrain AI and the True Value of Headless Autonomous QA The honeymoon period of AI development—where we basked in the exhilaration of “using Cursor to write code based on the ‘vibe’"—is likely drawing to a close. The evolution of LLMs (Large Language Models) has dramatically lowered the barrier to entry for programming. Watching code spring to life from a single instruction feels like pure magic. However, in a professional setting, nothing is more dangerous than relying on this “vibe.” In large-scale enterprise systems or mission-critical environments, AI non-determinism and hallucinations are not merely bugs; they represent “business risk” itself. ...

Automated “Double Bottom” Detection with Python: Automating Technical Analysis and Controlling Investment Discipline through Systems In investing, the greatest enemy is not market volatility, but the investor’s own “emotions.” We misidentify slight fluctuations in a chart as bullish signals, or delay stop-losses based on groundless hope. To eliminate these subjective biases and consistently identify “signs” with a statistical edge, “systematizing discipline” through engineering is essential. This article introduces the 19th installment of the “Analyzing Signs of Stocks & Investment Trusts and Auto-Posting” series on Qiita. We will delve into how to translate the “Double Bottom”—a staple of technical analysis—into an algorithm and automatically notify X (formerly Twitter). We will explore the core of its implementation and the practical design philosophy behind it. ...

Claude Code Evolving into an Autonomous Agent: The Pinnacle of Automated “Daily Report” Generation Transforming a Developer’s Morning An “engineer’s morning” is a constant battle against a flood of information. Unread tech news, a backlog of pull request reviews from the previous day, and reflecting on one’s own commit history. We have long sought automation to transform these routines into time for “intellectual production.” Currently, the developer community is buzzing about a workflow that integrates Anthropic’s CLI tool, “Claude Code,” into a scheduler (such as cron or launchd) to fully automate the generation of a personalized “Daily Report.” In this article, we will take a deep dive from the perspective of “TechTrend Watch” into why this hack stands apart from conventional automation, exploring its technical background and practical architecture. ...

The Impact of GPT-5.5: OpenAI’s Pursuit of the “Intelligence Singularity” and the Survival Strategies Forced Upon Developers In the evolution of AI, version numbers carry significant weight. OpenAI’s hints regarding “GPT-5.5” suggest it won’t be a mere extension of GPT-4. Instead, it represents the point where the “multimodal immediacy” of GPT-4o and the “deep reasoning capabilities” of the o1 series finally converge into a definitive form. AI was once dismissed as a “stochastic parrot.” However, what we are about to witness is the birth of an “engine of thought”—a system that does more than manipulate language; it constructs logic and iteratively verifies its own conclusions. In this article, from a tech-media perspective, we will deeply explore the paradigm shift brought by GPT-5.5 and how engineers should prepare for it. ...

Turning Memory into Social Assets: How the Next-Gen PRM “LifeOS” Defines Human Relationships in the AI Era The concern that “becoming too immersed in dialogue with AI might weaken real-world human relationships” is fast becoming a thing of the past. Currently, the tech community is closely watching a product called “LifeOS,” which seeks to redefine AI from a “closed conversational partner” into an “engine for connecting with the outside world.” ...

The Impact of OpenAI Agents SDK: Pioneering the Frontier of “Sandbox Agents” Development with Mac and uv The progress of AI technology is accelerating at a pace that can no longer be tracked by daily updates. The phase of “letting LLMs write code,” which was the standard until yesterday, has ended. From today, we have transitioned into a more advanced agent workflow: “letting LLMs autonomously execute the code they generate and verify the results.” ...