---
title: "博客"
canonical: https://wavect.io/zh/blog/overview/page/8/
language: zh
description: "精选首页连接到聚焦的主题与集群页面，让旧文章不会仅因发布时间较早而失去可见性。"
image: "https://wavect.io/img/general/bak/open_graph_preview.jpg"
---

来自实战 第 №164

# 观点，不是新闻稿

精选首页连接到聚焦的主题与集群页面，让旧文章不会仅因发布时间较早而失去可见性。

## 最新文章

每页展示九篇文章，并按发布日期排序。

### [Git Worktree 与 Jujutsu：AI 编程智能体版本控制决策指南（2026）](/zh/blog/git-worktrees-vs-jujutsu-ai-coding-agents/)

- **Details:** 交付与 QA · 2026年7月22日

面向采购决策对比代码库缓存、partial clone、Git worktree 与 Jujutsu workspace，并列出兼容缺口、成本指标和可衡量的 14 天试点。

### [Cisco Antares 评测：用于漏洞定位的 1B 本地 AI](/zh/blog/cisco-antares-local-vulnerability-localization/)

- **Details:** AI 与智能体 · 2026年7月22日

面向采购决策核查 Antares-1B、VLoc Bench、GGUF 与 llama.cpp、本地 CWE 初筛、CI/CD、安全边界和可衡量的 14 天试点。

### [Meterless 评测 2026：AI 智能体上下文层能否用于生产？](/zh/blog/meterless-ai-agent-context-layer-review/)

- **Details:** AI 与智能体 · 2026年7月22日

面向买方核查 H-MEM、World Model、Markovian 与 Scout，区分模型化 token 节省、许可证边界、生产缺口，并给出两周试点。

### [2026 年蒂罗尔软件开发机构对比](/zh/blog/software-agencies-tyrol-comparison-2026/)

- **Details:** 商业与监管 · 2026年7月19日

明确披露商业利益，只使用官方来源，按项目适配度对比 Wavect、IDUS、CreativeSystems、styleflasher、Frankford's IT 与 westSite，不设置通用排名。

### [AI 智能体 SLA 模板：准确率、延迟、人工接管与可审计性](/zh/blog/ai-agent-sla-template/)

- **Details:** 商业与监管 · 2026年7月19日

可直接复制的采购合同附件，覆盖任务成功、重大幻觉、工具调用、p95 延迟、人工接管、依赖故障、模型变更、trace 保留、事件等级与补救措施。

### [NVIDIA Nemotron 3.5 ASR：免费自托管 STT 能否用于语音智能体？](/zh/blog/nvidia-nemotron-3-5-asr-production-review/)

- **Details:** AI 与智能体 · 2026年7月19日

面向采购方核查 80 ms、40 个 locale 的真实限制、H100 并发经济性、OpenMDW 许可证、Whisper 取舍与可量化生产试点。

### [Claude Code vs OpenCode：2026 年团队用哪个更省钱？](/zh/blog/claude-code-vs-opencode-team-cost-2026/)

- **Details:** AI 与智能体 · 2026年7月19日

面向采购方比较实测 harness 固定开销、缓存经济性、套餐与 BYOK、企业控制，并给出可复现的每次验收成功成本评测方法。

### [Kimi K3 企业评测：API 价格、数据合规与试点清单](/zh/blog/kimi-k3-eu-api-production-review/)

- **Details:** AI 与智能体 · 2026年7月19日

面向采购方核查 K3 定价、独立表现、新加坡数据位置、公开条款差异、API 集成限制、自托管现实与两周可测量试点。

### [Mesh LLM 评测：一个大模型能否跨多台电脑运行？](/zh/blog/mesh-llm-distributed-inference-multiple-computers/)

- **Details:** AI 与智能体 · 2026年7月18日

面向采购决策的分布式本地推理评测：Skippy 如何用 layer stage 组合内存，为什么容量不等于加速，benchmark 能证明什么，以及如何安全试点。

只收重要内容

## 关注与你相关的内容

每当我们发布新文章，你会收到一封简短邮件。你可以关注整个博客，也可以只选感兴趣的主题。

## Structured Data

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