エージェントネイティブなソフトウェアファクトリー
エージェントネイティブなソフトウェアファクトリーの構築・統制・拡大を解説するガイドと、その背景にあるポッドキャストや講演の内容を紹介します。
記事のタイトル、要約、本文は英語原文で掲載しています。
ソフトウェアファクトリー
企業向けAI
Self-improving software needs a failure record
Self-improving software needs evidence that a change removed a recurring failure. Factory’s published Signals research shows that loop with human approval before merge.
記事を読むAIコーディングエージェント
セキュリティ
Webhook verification for coding agent changes
Webhook verification for coding agent changes requires raw-body signature checks, replay defenses, secret rotation, and negative tests before merge.
記事を読む企業向けAI
セキュリティ
Least-privilege access for coding agents
Least-privilege access for coding agents limits files, commands, networks, and credentials to what each task needs. Use this review checklist before granting autonomy.
記事を読むAIコーディングエージェント
Software Supply Chain
SBOM automation for coding agent changes
SBOM automation should track resolved components, provenance, and release artifacts. Learn how coding agents can update inventories without overstating coverage.
記事を読む企業向けAI
AIコーディングエージェント
Agent readiness can cut repeated token work
Agent readiness exposes avoidable setup, search, and validation work. Connect repository improvements to token efficiency without inventing a savings benchmark.
記事を読むAIコーディングエージェント
Git Workflows
Merge conflict resolution with coding agents
Coding agent merge conflict resolution needs a known base, semantic checks, and focused validation. Learn how to turn a conflicted branch into a reviewable change.
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企業向けAI
Factory vs Cognition for enterprise agent controls
Compare Factory vs Cognition on administering Droid and Devin: user access, model policy, command permissions, automation ownership, and audit records.
記事を読むAIコーディングエージェント
ガバナンス
Audit trails for coding agent changes
A coding agent audit trail connects identity, intent, tool activity, validation, review, and deployment. Learn what evidence to retain without collecting unnecessary data.
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データガバナンス
Factory vs Devin: where your engineering data goes
Compare Factory vs Devin on where code runs, which services receive model requests, and what sessions and telemetry retain. Understand the limits of private deployment.
記事を読むAIコーディングエージェント
Engineering Management
Keeping long-running coding agents on track
Long-running coding agents need bounded milestones, externalized state, independent validation, and clear stop conditions. Use these controls for multi-day work.
記事を読むFactoryプライベート
Agent Governance
AI agent controls for private development networks
AI agent controls for private networks need enforceable permissions, sandboxing, managed model policy, and review gates. Build a testable policy for Droid.
記事を読む比較
ソフトウェアファクトリー
Factory vs Warp: compare the whole delivery loop
Compare Factory vs Warp across cloud orchestration, harness choice, context, and deployment. Follow current official sources and inspect a real delivery workflow.
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