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business#ai📝 BlogAnalyzed: Jan 20, 2026 17:02

XBuild Secures $19M to Revolutionize Roofing Estimates with AI!

Published:Jan 20, 2026 17:00
1 min read
SiliconANGLE

Analysis

XBuild's innovative approach to construction estimation using AI is incredibly exciting! This funding will allow them to build a 'vibe coding' platform, promising a more efficient and accurate way for contractors to manage their projects. The involvement of major investors like Andreessen Horowitz further validates the potential of this technology.
Reference

“XBuild, a company aiming to bring artificial intelligence to residential construction contractors, today announced it raised $19 million in early-stage funding to build what it calls a “vibe coding” estimating platform for construction projects.”

PermalinkSiliconANGLE
AI Development#AI-Assisted Coding📝 BlogAnalyzed: Jan 16, 2026 01:52

Vibe coding a mobile app with Claude Opus 4.5

Published:Jan 16, 2026 01:52
1 min read

Analysis

The article's brevity offers little in the way of critical analysis. It simply states that 'Vibe' is using Claude Opus 4.5 for mobile app coding. The lack of details on the app's nature, the coding process, the performance of Claude Opus 4.5, or any potential challenges makes it difficult to provide a meaningful critique.

Key Takeaways

Reference

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Permalink
research#llm📝 BlogAnalyzed: Jan 6, 2026 07:14

Gemini 3.0 Pro for Tabular Data: A 'Vibe Modeling' Experiment

Published:Jan 5, 2026 23:00
1 min read
Zenn Gemini

Analysis

The article previews an experiment using Gemini 3.0 Pro for tabular data, specifically focusing on 'vibe modeling' or its equivalent. The value lies in assessing the model's ability to generate code for model training and inference, potentially streamlining data science workflows. The article's impact hinges on the depth of the experiment and the clarity of the results presented.

Key Takeaways

Reference

“In the previous article, I examined the quality of generated code when producing model training and inference code for tabular data in a single shot.”

PermalinkZenn Gemini
Paper#llm🔬 ResearchAnalyzed: Jan 3, 2026 06:20

Vibe Coding as Interface Flattening

Published:Dec 31, 2025 16:00
2 min read
ArXiv

Analysis

This paper offers a critical analysis of 'vibe coding,' the use of LLMs in software development. It frames this as a process of interface flattening, where different interaction modalities converge into a single conversational interface. The paper's significance lies in its materialist perspective, examining how this shift redistributes power, obscures responsibility, and creates new dependencies on model and protocol providers. It highlights the tension between the perceived ease of use and the increasing complexity of the underlying infrastructure, offering a critical lens on the political economy of AI-mediated human-computer interaction.
Reference

“The paper argues that vibe coding is best understood as interface flattening, a reconfiguration in which previously distinct modalities (GUI, CLI, and API) appear to converge into a single conversational surface, even as the underlying chain of translation from intention to machinic effect lengthens and thickens.”

PermalinkArXiv
Research#llm📝 BlogAnalyzed: Dec 26, 2025 23:30

Creating a Receipt Management Application with VibeCoding

Published:Dec 25, 2025 17:18
1 min read
Zenn LLM

Analysis

This article discusses the author's experience in creating a personalized receipt management application using LLMs (Large Language Models). Frustrated with the lack of suitable existing solutions for efficiently processing a large volume of receipts, especially with the upcoming tax season, the author decided to build their own application using a "VibeCoding" approach. The article highlights the potential of LLMs in creating customized services and streamlining tedious tasks like receipt processing. It also touches upon the limitations of existing services and the motivation for a DIY solution. The author's approach showcases a practical application of AI in personal productivity.
Reference

“LLMs are great for DX when creating personalized services.”

PermalinkZenn LLM
Software Development#Coding Philosophy📝 BlogAnalyzed: Dec 24, 2025 17:07

Linters as a Prime Example of Vibe Coding

Published:Dec 24, 2025 15:10
1 min read
Zenn AI

Analysis

This article, largely AI-generated, discusses the application of "Vibe Coding" in linter development. It's positioned as a more philosophical take within a technical Advent Calendar series. The article references previous works by the author and hints at a discussion of OSS library development. The core idea seems to be exploring the less tangible, more intuitive aspects of coding, particularly in the context of linters which enforce coding style and best practices. The article's value lies in its potential to spark discussion about the human element in software development and the role of intuition alongside technical expertise.
Reference

“この記事は 8 割ぐらい AI が書いています。”

PermalinkZenn AI
Research#llm📝 BlogAnalyzed: Dec 24, 2025 22:46

aiXcoder: AI is not a "silver bullet" for software development; it needs to be combined with software engineering

Published:Dec 24, 2025 09:27
1 min read
雷锋网

Analysis

This article from 雷锋网 discusses aiXcoder's perspective on the limitations of using AI, specifically large language models (LLMs), in enterprise-level software development. It argues against the "Vibe Coding" approach, where AI generates code based on natural language instructions, highlighting its shortcomings in handling complex projects with long-term maintenance needs and hidden rules. The article emphasizes the importance of integrating AI with established software engineering practices to ensure code quality, predictability, and maintainability. aiXcoder proposes a framework that combines AI capabilities with human oversight, focusing on task decomposition, verification systems, and knowledge extraction to create a more reliable and efficient development process.
Reference

“AI is not a "silver bullet" for software development; it needs to be combined with software engineering.”

Permalink雷锋网
Research#llm📝 BlogAnalyzed: Dec 24, 2025 13:29

A 3rd-Year Engineer's Design Skills Skyrocket with Full AI Utilization

Published:Dec 24, 2025 03:00
1 min read
Zenn AI

Analysis

This article snippet from Zenn AI discusses the rapid adoption of generative AI in development environments, specifically focusing on the concept of "Vibe Coding" (relying on AI based on vague instructions). The author, a 3rd-year engineer, intentionally avoids this approach. The article hints at a more structured and deliberate method of AI utilization to enhance design skills, rather than simply relying on AI to fix bugs in poorly defined code. It suggests a proactive and thoughtful integration of AI tools into the development process, aiming for skill enhancement rather than mere task completion. The article promises to delve into the author's specific strategies and experiences.
Reference

“"Vibe Coding" (relying on AI based on vague instructions)”

PermalinkZenn AI
Research#Visual Concepts🔬 ResearchAnalyzed: Jan 10, 2026 10:37

Exploring Vibe Spaces for Visual Concept Creation and Connection

Published:Dec 16, 2025 20:03
1 min read
ArXiv

Analysis

This ArXiv article likely introduces a novel approach for creative visual concept generation, potentially leveraging AI to enhance the expression and connection of visual ideas. The paper's impact will depend on the technical details and the demonstrated improvements compared to existing methods.
Reference

“The article's core focus is on "Vibe Spaces" used for creatively connecting and expressing visual concepts.”

PermalinkArXiv
Research#llm🔬 ResearchAnalyzed: Jan 4, 2026 09:47

Vibe Coding in Practice: Flow, Technical Debt, and Guidelines for Sustainable Use

Published:Dec 11, 2025 18:00
1 min read
ArXiv

Analysis

This article likely discusses the practical application of 'Vibe Coding,' focusing on aspects like workflow, managing technical debt, and providing guidelines for long-term usability. The source being ArXiv suggests a research-oriented approach, potentially exploring the challenges and best practices associated with this coding methodology. The focus on sustainability implies an emphasis on maintainability and the avoidance of future problems.

Key Takeaways

    Reference

    “”

    PermalinkArXiv
    Research#llm📝 BlogAnalyzed: Jan 3, 2026 06:27

    LWiAI Podcast #222 - Sora 2, Sonnet 4.5, Vibes, Thinking Machines

    Published:Oct 8, 2025 06:04
    1 min read
    Last Week in AI

    Analysis

    The article summarizes recent AI developments, including OpenAI's Sora 2, Anthropic's Claude Sonnet 4.5, and Meta's 'Vibes'. It provides a concise overview of key announcements from major players in the AI industry.
    Reference

    “”

    PermalinkLast Week in AI
    Product#Coding Methodology👥 CommunityAnalyzed: Jan 10, 2026 15:02

    Navigating the Vibe Coding Landscape: A Career Crossroads

    Published:Jul 4, 2025 22:20
    1 min read
    Hacker News

    Analysis

    This Hacker News thread provides a snapshot of developer sentiment regarding the adoption of 'vibe coding,' offering valuable insights into the potential challenges and considerations surrounding it. The analysis is limited by the lack of specifics about 'vibe coding' itself, assuming it's a known industry term.
    Reference

    “The context is from Hacker News, a forum for programmers and tech enthusiasts, suggesting the discussion is from a developer's perspective.”

    PermalinkHacker News
    AI Development#AI Agents📝 BlogAnalyzed: Dec 29, 2025 06:06

    OpenAI's Approach to Building AI Agents: A Discussion with Josh Tobin

    Published:May 6, 2025 22:50
    1 min read
    Practical AI

    Analysis

    This article summarizes a podcast episode featuring Josh Tobin from OpenAI, focusing on the company's advancements in AI agent development. It highlights OpenAI's three agentic offerings: Deep Research, Operator, and Codex CLI. The discussion centers on the shift from basic LLM workflows to reasoning models trained for complex, multi-step tasks using reinforcement learning. The article also touches upon practical applications, human-AI collaboration in software development (including "vibe coding" and MCP integration), context management in AI-enabled IDEs, and the crucial aspects of trust and safety as AI agents become more powerful. The episode provides valuable insights into the future of AI and its impact on various industries.
    Reference

    “The article doesn't contain a direct quote, but it discusses the shift from simple LLM workflows to reasoning models.”

    PermalinkPractical AI
    Research#Computer Vision📝 BlogAnalyzed: Dec 29, 2025 07:59

    That's a VIBE: ML for Human Pose and Shape Estimation with Nikos Athanasiou, Muhammed Kocabas, Michael Black - #409

    Published:Sep 14, 2020 20:37
    1 min read
    Practical AI

    Analysis

    This article from Practical AI discusses the research paper "VIBE: Video Inference for Human Body Pose and Shape Estimation" submitted to CVPR 2020. The podcast episode features Nikos Athanasiou, Muhammed Kocabas, and Michael Black, exploring their work on human pose and shape estimation using an adversarial learning framework. The conversation covers the problem they are addressing, the datasets they are utilizing (AMASS), the innovations distinguishing their work, and the experimental results. The article provides a brief overview of the research, highlighting key aspects like the methodology and the datasets used, and points to the full show notes for more details.
    Reference

    “We caught up with the group to explore their paper VIBE: Video Inference for Human Body Pose and Shape Estimation...”

    PermalinkPractical AI