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。
企業向けAI内のタグ
AIコーディングエージェント
Engineering Management
Coding agent task specifications that work
A coding agent task specification needs a bounded outcome, repository context, acceptance criteria, and verification steps. Use this practical structure for delegated work.
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.
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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.
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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.
記事を読むソフトウェアファクトリー
企業向けAI
Self-improving software architecture in practice
Self-improving software architecture connects operational evidence to reviewed changes. Define what can change, where learning persists, and who controls the next release.
記事を読む企業向けAI
Factoryプライベート
Enterprise AI needs approved engineering context
Enterprise AI depends on engineering context that security teams can approve. Nav’s published results connect reduced context switching with controlled access.
記事を読むEngineering Management
Testing
How to evaluate coding agents on your codebase
Evaluate coding agents with representative tasks, reproducible environments, independent acceptance checks, and a record of cost and human intervention.
記事を読む企業向けAI
ソフトウェアファクトリー
How enterprises actually automate software development
A reference guide to how large enterprises (including global consulting firms, fintechs, infrastructure providers, and SaaS companies) are automating software development, with concrete examples drawn from published case studies.
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