1236 summarised stories about AI Agents & Workflows, each linking back to the original source. Browse all topics →
The New Stack 1 month ago 31
GitHub’s platform scaled less than demand, culminating in an August 17 outage after a Central US component failed to scale with traffic while commit volume surged.
The New Stack 1 month ago 35
The 3 roles AI agents play in a developer platform were mapped from hundreds of customer calls into three distinct operating modes. One role-specific detail is that early 2026, 47% of organizations asked for an agent and skill registry to support agenticOps-style agent lifecycle management. As a result, teams can design platforms with a governed context layer for agent use, an orchestration/registry flow for agents inside workflows, and self-service provisioning to request, register, and publish reusable agents.
Trending Topics 1 month ago 46 ● 3 sources
OpenAI ended its partnership with AI coding startup Cursor and notified SpaceX that it will wind down Cursor’s access to its models after a change of control. The proposed shutoff date is November 12, 2026. Cursor will lose OpenAI model access for current use and future offerings, including Astra, unless the parties resolve the issue.
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24 October 2026
The day’s main thread is the quiet engineering work behind “agentic” software: making agents produce code without outrunning the ability to verify it. Anthropic reported that its merged code changes climbed from about 2,500 per day in May to over 30,000 per day by September as it folded more autonomous “software factory” workflows into Claude Code. The argument isn’t more autonomy; it’s a better governor. That showed up in other safety-forward tooling: AWS’s Continuum security agent hit 89.0% end-to-end task completion on CyberGym-E2E, but only 37.8% of its patches fixed the specific historical bug—an important reminder that passing tests isn’t the same as fixing the right thing. Even Kubernetes came in with a lesson about control loops: average cluster CPU sat around 8% while node provisioning stayed high, because HPA, VPA, KEDA, GitOps, and node autoscalers can make contradictory bets.
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