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。
Factoryプライベート
データガバナンス
AI code data residency beyond the repository
AI code data residency includes model context, session records, integrations, and telemetry. Follow the complete data path before approving a coding agent.
記事を読むModel Independence
比較
A model-agnostic alternative to OpenAI dots
Compare OpenAI dots with Factory on model selection, pricing and usage limits, cloud computers, projects, background work, and permissions.
記事を読むFactoryプライベート
エアギャップ環境への導入
Air-gapped AI development that works offline
Air-gapped AI development needs internal inference, offline artifacts, and enforced network isolation. Validate the full workflow before approving a deployment.
記事を読むAIコーディングエージェント
Software Delivery
The multi-agent architecture behind reliable missions
Luke Alvoeiro explains the multi-agent architecture behind Factory Missions. Explore planning, independent validation, structured handoffs, and selective parallelism.
記事を読むAIコーディングエージェント
Software Maintenance
Runtime upgrades with coding agents
Runtime upgrades with coding agents can turn compatibility discovery, dependency updates, and validation into a reviewable migration.
記事を読むAIコーディングエージェント
セキュリティ
Build provenance for coding agent artifacts
Build provenance connects coding agent artifacts to source, workflow, and inputs. Generate attestations in CI and verify them before release.
記事を読むAIコーディングエージェント
Testing
Localization testing with coding agents
Localization testing with coding agents checks translated interfaces for layout, formatting, direction, missing messages, and functional regressions.
記事を読むAIコーディングエージェント
セキュリティ
Log redaction for agent-generated changes
Log redaction review for coding agent changes starts with a data inventory, tests structured output, and verifies that useful diagnostics survive.
記事を読む企業向けAI
ガイド
How to measure agent readiness
Agent readiness measures how well a codebase supports autonomous coding agents. This guide covers how to measure it with Factory, using the readiness report in the Droid CLI, the readiness dashboard, and the readiness reports API.
記事を読む比較
Software Delivery
OpenAI dots vs Factory for software development
Compare OpenAI dots with Factory on software delivery, cloud computers, background work, model selection, pricing, and action approvals.
記事を読むAIコーディングエージェント
Testing
Finding the cause of flaky tests with coding agents
Flaky test triage needs repeatable evidence, controlled reruns, and a narrow fix. Learn how coding agents can investigate intermittent CI failures without hiding them.
記事を読むSoftware Delivery
Model Independence
Recursive self-improvement needs a better measure
Matan Grinberg discusses recursive self-improvement and AI adoption with Sabrina Halper. Separate model improvement, engineering feedback, token spending, and useful outcomes.
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