[note] How to Use GitHub Issue to Manage AI Agent's BDD + SDD + TDD Development Workflow

Note: This page is an AI-generated (gpt-5-mini-2025-08-07) translation from Traditional Chinese and may contain minor inaccuracies.

📌 Introduction

In the current AI development landscape, different methodologies are proliferating rapidly (for example coleam00/context-engineering-intro, bmad-code-org/BMAD-METHOD, automazeio/ccpm, and classmethod/tsumiki). These methodologies aim to help AI Agents plan before coding. However, they often store the large amount of planning documents directly in the project repo. Although they look detailed, these documents become a burden when requirements keep changing. When requirements change, it’s hard to verify whether the AI Agent has correctly read and updated the relevant documents, and difficult to audit and track changes, especially in collaborative environments or when maintaining legacy projects.

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[tutorial] Introduction to sigstore's model signing tool

Note: This page is an AI-generated (gpt-5-mini-2025-08-07) translation from Traditional Chinese and may contain minor inaccuracies.

📌 Introduction

Introducing Sigstore’s model signing tool and describing how its three-layer structure (Sigstore Bundle, DSSE Envelope, In‑Toto Statement) provides integrity, authenticity, and transparency for machine learning model signing and verification. Also demonstrates simple signing and verification commands.

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[note] Introduction to SBOM, AIBOM and Their Tools

Note: This page is an AI-generated (gpt-5-mini-2025-08-07) translation from Traditional Chinese and may contain minor inaccuracies.

📌 Introduction

This article introduces the Software Bill of Materials (SBOM) and its application in the AI domain, AIBOM. It briefly presents three common SBOM standard formats: SPDX, CycloneDX, and SWID. While introducing AIBOM, it explains the differences between AIBOM and Model Cards, and presents the open-source tool aetheris-ai/aibom-generator, which can extract model information from Hugging Face and perform scoring.

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[note] Introduction to automated AI security auditing framework petri

Note: This page is an AI-generated (gpt-5-mini-2025-08-07) translation from Traditional Chinese and may contain minor inaccuracies.

📌 Introduction

Petri is a red-team tool for AI safety testing that simulates realistic interactive scenarios to detect potential model risks. Through collaboration between the Auditor, Target, and Judge, it performs various tasks such as general audits, multi-model comparisons, and whistleblowing tests to check whether models leak information, exhibit bias, or show other issues, improving AI safety and reliability in complex scenarios.

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[note] Higgs-Audio Common Token Summary

Note: This page is an AI-generated (gpt-5-mini-2025-08-07) translation from Traditional Chinese and may contain minor inaccuracies.

📌 Introduction

When encountering errors while working with Higgs-Audio, I plan to carefully study the entire operation of Higgs-Audio from start to finish, so I’ll start by understanding tokens. Because Higgs-Audio needs to handle both “text” and “audio” tokens simultaneously, it looks rather complicated at first, so I plan to thoroughly organize how many tokens there are.

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[tutorial] Docling + ibm-granite/granite-docling-258M

Note: This page is an AI-generated (gpt-5-mini-2025-08-07) translation from Traditional Chinese and may contain minor inaccuracies.

📌 Introduction

This demonstrates how to use the Docling document conversion tool with IBM’s newly released VLM ibm-granite/granite-docling-258M to convert PDFs, images, and other files into structured Markdown or HTML formats for easier downstream use with LLMs.

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[note] Introduction to the Easy Approach to Requirements Syntax (EARS)

Note: This page is an AI-generated (gpt-5-mini-2025-08-07) translation from Traditional Chinese and may contain minor inaccuracies.

📌 Introduction

With the rise of AI Code Assist, many have found that pure “vibe coding” is hard to maintain, and Context Engineering along with traditional development processes (BDD, TDD, SDD) are being re-emphasized. This article introduces two simple and useful requirement writing templates: EARS and GWT.

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[note] Docker Model Runner Installation

📌 Introduction

While installing the Docker Model Plugin on Ubuntu 24.04, I ran into an issue where apt couldn’t locate the package. It turned out that the Docker repository was pointing to the wrong release (focal instead of noble).

⭐ Note
This article was initially drafted with the help of ChatGPT based on a real issue I encountered. I verified the solution and revised the content to ensure accuracy and clarity for others facing similar problems.

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