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Development2026-05-07·9 min read·1
GitHub MCP security scan operation standards: To what extent will we trust the AI coding agent's pre-commit secret and dependency checks and what will be recorded separately?
GitHub MCP Server will offer Secret Scan GA and Dependency Scan Preview starting in May 2026, allowing AI coding agents to directly perform pre-commit security checks. This article organizes practical standards on how to separate the roles of GitHub MCP, Gitleaks/Trivy, and existing GitHub Alerts so as not to confuse pre-commit inspection and system of record.
#GitHub MCP Server#secret scanning#dependency scanning#Gitleaks+2
Development2026-05-05·9 min read·1
Meta Autodata Commentary: Why the Synthetic Data Race Moves from Prompt Once to Iterative Verification Loops
Based on the release of Meta's Autodata reported by AI Times, we have summarized the practical standards for why synthetic data generation moves from one-shot prompts to iterative verification loops and separate evaluation of weak and strong models.
#Meta#Autodata#synthetic data#Agentic Self-Instruction+3
Development2026-05-03·8 min read
Anthropic-Fractile Commentary: As inference demand explodes, why memory movement costs and supply chain bargaining power must be prioritized over GPU purchases
AI Times' review of Anthropic's Fractile was explained from the perspective of inference infrastructure design rather than simple investment news. We have compiled a checklist of how to divide GPU, TPU, Trainium, and inference chips and supply chain diversification.
#Anthropic#Fractile#AI Inference#Trainium+2
Development2026-05-02·10 min read·2
Microsoft Foundry Practical Guide: Operational Boundaries to Set When Bringing MCP Server, LangGraph, and Browser Automation to One Platform
Microsoft Foundry's April 2026 documentation update is less of a feature addition and more of a signal to clearer boundaries between agent operations. When looking at MCP connection, LangGraph integration, browser automation, and task adherence at once, we have organized what to design first as a practical standard.
#Microsoft Foundry#MCP#LangGraph#Browser Automation+1
Development2026-04-30·10 min read·2
Hancom OpenDataLoader PDF Commentary: Why PDF accessibility requires tag structure automation before OCR
The OpenDataLoader PDF accessibility automatic tagging that Hancom released in April 2026 makes the PDF accessibility issue look again as a tag structure restoration issue, not a simple OCR. This article summarizes from a development information perspective why this disclosure is important, what makes it different from existing PDF extraction tools, and how working teams should start piloting it.
#OpenDataLoaderPDF#PDF Accessibility#Tagged PDF#PDF/UA+2
Development2026-04-29·10 min read·1
GitHub Models + GITHUB_TOKEN Practical Guide: Permission boundaries to fix first when running AI workflows within a repository without PAT
GitHub Models will officially support basic GITHUB_TOKEN authentication for GitHub Actions starting in April 2025, opening the way to bundle model calls, prompt evaluation, and automated reviews within the repository without PAT. This article organizes the order of authority boundaries, comparison of alternatives, and actual workflow design, which are more important than convenience, into practical standards.
#GitHub Models#GITHUB_TOKEN#GitHub Actions#AI workflow+1
Development2026-04-28·10 min read·1
Google Virgo Network + Agent Sandbox Commentary: Why Agent-era Infrastructure Should Separate East-West Traffic and Untrusted Code Execution Layers Rather Than GPUs
The most noticeable change in Google Cloud Next '26 was the separate network fabric and agent sandbox rather than the new chip itself. When operating an agent workload, we have outlined a practical basis for why grouping model serving, east-west traffic, and untrusted code execution under the same cluster rule increases costs and failures.
#Google Cloud Next 2026#Virgo Network#GKE Agent Sandbox#AI Hypercomputer+1
Development2026-04-26·10 min read·1
Meta-AWS Graviton Contract Commentary: Why infrastructure teams need to redesign CPU orchestration rather than GPU in the AI agent era
Meta's large-scale adoption of AWS Graviton reported by AI Times is not just chip contract news. From a practical perspective, we summarized signs that with the spread of agent-based AI, the practical bottleneck after inference is shifting to CPU orchestration, memory, network, and cost structure rather than GPU learning.
#Meta#AWS Graviton#AI agent#CPU infrastructure+1
Development2026-04-25·9 min read·1
Cloudflare Agent Memory Practical Guide: Why you should design memory structures before prompts the longer your agents work
Cloudflare Agent Memory is not a replacement for long prompts, but rather a memory layer that allows long-running agents to re-write team rules and user context. We have summarized on a practical basis what is different from the Session API, search layer, and external memory service.
#Cloudflare Agent Memory#Cloudflare Workers#Agent SDKs#AI Memory+1

GitHub MCP security scan operation standards: To what extent will we trust the AI ​​coding agent's pre-commit secret and dependency checks and what will be recorded separately?

Meta Autodata Commentary: Why the Synthetic Data Race Moves from Prompt Once to Iterative Verification Loops

Anthropic-Fractile Commentary: As inference demand explodes, why memory movement costs and supply chain bargaining power must be prioritized over GPU purchases

Microsoft Foundry Practical Guide: Operational Boundaries to Set When Bringing MCP Server, LangGraph, and Browser Automation to One Platform

Hancom OpenDataLoader PDF Commentary: Why PDF accessibility requires tag structure automation before OCR

GitHub Models + GITHUB_TOKEN Practical Guide: Permission boundaries to fix first when running AI workflows within a repository without PAT

Google Virgo Network + Agent Sandbox Commentary: Why Agent-era Infrastructure Should Separate East-West Traffic and Untrusted Code Execution Layers Rather Than GPUs

Meta-AWS Graviton Contract Commentary: Why infrastructure teams need to redesign CPU orchestration rather than GPU in the AI ​​agent era

Cloudflare Agent Memory Practical Guide: Why you should design memory structures before prompts the longer your agents work

GitHub MCP security scan operation standards: To what extent will we trust the AI coding agent's pre-commit secret and dependency checks and what will be recorded separately?

Meta-AWS Graviton Contract Commentary: Why infrastructure teams need to redesign CPU orchestration rather than GPU in the AI agent era