Editor's Picks
おすすめ記事
編集部が厳選した5つの記事をランキング形式でご紹介します。
- 01セキュリティ・プライバシー
CodeQL Models-as-Data Adds Sanitizers and Validators: A Practical AppSec Rollout Plan
How to operationalize new CodeQL sanitizer and validator modeling across large repositories without breaking delivery velocity.
Explains how to operationalize CodeQL sanitizer and validator modeling in large organizations with measurable outcomes.
- 02セキュリティ・プライバシー
Sunsetting SHA-1 on GitHub HTTPS: Certificate and Legacy Client Migration Blueprint
A practical enterprise migration guide for removing SHA-1 dependencies in Git workflows, proxies, and legacy developer environments.
Provides a practical migration blueprint for removing hidden SHA-1 dependencies across CI, proxies, and developer environments.
- 03AI・機械学習
Agent Memory in Production: Governance, Retention, and Retrieval Boundaries
How to deploy persistent agent memory with clear retention policy, PII controls, and measurable quality gates.
Turns Agent Memory into a governable platform capability with retention classes, access boundaries, and auditability.
- 04
AI Code Review at Scale: Flood Control, Evidence Gates, and Trustworthy Automation
Design patterns for CI-native AI code review that reduce noise, preserve developer trust, and improve merge quality.
Shows how to scale AI code review in CI without trust erosion by enforcing evidence-driven gates and output budgets.
- 05
Canonical Content for AI Crawlers: Redirect Strategy and Agent Readiness Operations
An operational framework for controlling crawler ingestion quality with redirects, canonical policy, and documentation architecture.
Details a canonical redirect and readiness operating model to improve AI crawler ingestion quality and support outcomes.
