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The future is AC/DC: the Agent Centric Development Cycle
おなじみのプロセスやワークフローを特徴とする継続的インテグレーション（CI）の時代は、急速に終わりを迎えつつあります。従来のCIは、開発者が小規模で頻繁な反復的なコミットを行うことを前提としていました。今日、「継続的」という側面そのものが変化しつつあります。
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The refactor you could never afford
See how agentic development makes legacy refactoring more affordable while independent code verification keeps fast experiments safe.
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OpenAI GPT-6 Astra: An evaluation
GPT 6 Astra beats GPT 5.6 Sol on Java benchmarks with higher pass rates, less code, fewer bugs, and a shifting critical risk profile.
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Automatic analysis for GitLab is now available
SonarQube Cloud automatic analysis for GitLab scans code for security issues and bugs with zero configuration and no CI pipeline setup required.
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Sonar extends technical debt governance to R
SonarQube adds native R support with centralized quality gates, security analysis, coverage, and auditable governance for regulated enterprises.
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Your AI agent doesn't know your codebase's context or constraints, and that's costing you
Learn why AI coding agents need codebase context to reduce architectural drift, security risks, review costs, and unnecessary token usage.
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AGENTS.md is a workaround, not a solution
AGENTS.md has won the fight to become the standard place to brief a coding agent, and deservedly so.
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