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
企業向けAI
Fast inference changes the coding-agent workflow
Evaluate fast inference for coding agents across providers and gateways. Compare response latency, model compatibility, cost, and time to a validated result.
記事を読むFactoryプライベート
企業向けAI
Self-hosted AI agents and control-plane ownership
Self-hosted AI agents require clear ownership of the control plane, session data, models, and updates. Compare the responsibilities before choosing a deployment.
記事を読むAIコーディングエージェント
企業向けAI
Model routing has to account for the warm cache
Model routing can lose its price advantage when a switch discards cached context. Factory’s research explains why task state belongs in the decision.
記事を読む企業向けAI
ガイド
Agent readiness: fix the repos slowing your rollout
Use agent readiness to find the repositories blocking an AI rollout, prioritize fixes, and measure progress with Factory’s reports and dashboard.
記事を読むFactoryプライベート
企業向けAI
On-prem AI development inside your security boundary
On-prem AI development needs more than a local agent. Place the control plane, model endpoint, build tools, and telemetry inside the approved boundary.
記事を読むAIコーディングエージェント
企業向けAI
Context compaction must preserve the next step
Context compaction should preserve decisions and file state, not just shrink a transcript. Factory’s published study shows what to test after a long coding session.
記事を読む比較
企業向けAI
Droid vs Devin for enterprise engineering workflows
Compare Droid vs Devin for interactive coding, delegated multi-step work, and review handoffs. Separate saved instructions, persistent compute, and model configuration.
記事を読むFactoryプライベート
企業向けAI
Private AI package work needs durable context
Private AI package maintenance depends on repeatable builds and durable context. Chainguard’s published experience shows why long-running sessions deserve evaluation.
記事を読むFactoryプライベート
企業向けAI
Factory Managed vs Private: choosing the boundary
Compare Factory Managed vs Private across control-plane ownership, model access, telemetry, and operations. Choose a deployment around your actual requirements.
記事を読むFactoryプライベート
企業向けAI
Factory Private architecture inside your boundary
Factory Private architecture puts the control plane in your infrastructure. Plan the model, network, telemetry, and operating boundaries before a pilot.
記事を読むFactoryプライベート
企業向けAI
EU AI deployment beyond the regional endpoint
EU AI deployment requires separate decisions about session content, inference, identity, and control-plane ownership. Compare regional Factory hosting with Factory Private.
記事を読むソフトウェアファクトリー
Engineering Management
Evaluating self-improving software after release
Evaluating self-improving software requires stable checks and comparable work. Connect workflow changes to accepted outcomes, human correction, cost, and later failures.
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