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11:22

Stacked pull requests are now in public preview

GitHub 堆叠 PR 公开预览：拆小改动、独立评审、一键合入

GitHub introduces stacked pull requests in public preview, letting teams break large changes into an ordered series of small, focused PRs that can be reviewed and checked independently, then merged together in one click. The feature is available via the gh-stack CLI extension (gh extension install github/gh-stack), github.com, mobile, and GitHub Copilot through the gh-stack skill. Existing branch protections and required checks still apply; merge queue support is rolling out over the coming weeks. Early adopters include Vercel, TED, and WHOOP.

github.blog · 5 min · Code Review · Developer Tools
06:00

The State of Enterprise AI: OpenAI's 2025 Report

OpenAI企业AI报告：256%增长背后的采用现状与组织差距

OpenAI's 2025 enterprise AI report, based on aggregated data from 1M+ business customers and a survey of 9,000 workers across nearly 100 enterprises, finds adoption shifting from pilots to full deployment. ChatGPT Enterprise messages grew 8x YoY and per-org API reasoning token consumption rose 320x. 75% of workers report saving 40–60 minutes per active day, with data/engineering roles higher. A frontier vs. median divide emerges: frontier workers send 6x more messages overall, 17x more in coding. Organizational readiness—connectors, workflow standardization, executive sponsorship—is now the main bottleneck: ~1 in 4 enterprises haven't enabled data connectors. Customer stories (Intercom, Lowe's, BBVA, Moderna) are included. Useful for engineering leaders tracking enterprise AI adoption, though the data is vendor-sourced.

openai.com · 40 min · Agents · AI Engineering · AI Industry · LLM
06:00

Agentic AI Architectures: Patterns vs. Trade-offs

Agent 架构选型指南：七种模式的取舍与判据

A practical introduction to agentic AI architecture selection, breaking down components and comparing seven patterns—single-agent, sequential/parallel, router, hierarchical, network/swarm, and generator-critic—with diagram examples and a trade-off table. The article offers two operational tests: introduce a handoff only when it changes required expertise or permissions, and use parallel branches only when they are truly independent. Production concerns include explicit stop conditions, shared-state conflict rules, and tool-failure semantics such as timeouts that must not look like empty results. Also covers common mistakes like adding multiple agents before proving one is insufficient. Suitable as a first-pass checklist for engineers designing agent workflows. The closing sections promote Kimi Agent and its Swarm feature, so the vendor bias is present but the core guide stays relatively neutral.

www.kimi.com · 15 min · Agent Architecture · Agents · AI Engineering · Orchestration