惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

Scott Helme
Scott Helme
N
Netflix TechBlog - Medium
AI
AI
Security Latest
Security Latest
GbyAI
GbyAI
P
Proofpoint News Feed
Y
Y Combinator Blog
A
Arctic Wolf
G
Google Developers Blog
U
Unit 42
爱范儿
爱范儿
让小产品的独立变现更简单 - ezindie.com
让小产品的独立变现更简单 - ezindie.com
V
Vulnerabilities – Threatpost
Know Your Adversary
Know Your Adversary
Cisco Talos Blog
Cisco Talos Blog
T
Tor Project blog
C
CXSECURITY Database RSS Feed - CXSecurity.com
T
Threatpost
L
Lohrmann on Cybersecurity
C
CERT Recently Published Vulnerability Notes
C
Check Point Blog
B
Blog RSS Feed
The GitHub Blog
The GitHub Blog
Microsoft Azure Blog
Microsoft Azure Blog
博客园 - 【当耐特】
博客园 - Franky
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
C
Cisco Blogs
云风的 BLOG
云风的 BLOG
NISL@THU
NISL@THU
D
Darknet – Hacking Tools, Hacker News & Cyber Security
Microsoft Security Blog
Microsoft Security Blog
T
The Blog of Author Tim Ferriss
阮一峰的网络日志
阮一峰的网络日志
Latest news
Latest news
L
LINUX DO - 最新话题
cs.CV updates on arXiv.org
cs.CV updates on arXiv.org
钛媒体:引领未来商业与生活新知
钛媒体:引领未来商业与生活新知
美团技术团队
WordPress大学
WordPress大学
L
LangChain Blog
Stack Overflow Blog
Stack Overflow Blog
Exploit-DB.com RSS Feed
Exploit-DB.com RSS Feed
酷 壳 – CoolShell
酷 壳 – CoolShell
大猫的无限游戏
大猫的无限游戏
The Hacker News
The Hacker News
Simon Willison's Weblog
Simon Willison's Weblog
V
V2EX
Project Zero
Project Zero
博客园_首页

Mintlify Blog

22 UX improvements to the web editor Introducing the Mintlify Help Center Starter Kit Introducing the collaborative editor built for teams and agents Workflows, rebuilt Is your documentation agent-ready? Mintlify raises $45M Series B led by Andreessen Horowitz and Salesforce Ventures 5 things you didn't know you could do in the Mintlify web editor The improved Mintlify CLI Docs on autopilot: From zero to self-maintaining with Mintlify The state of agent traffic in documentation (March 2026) How we built a virtual filesystem for our Assistant We Replaced Our Internal Wiki With a Slack Bot. You Should Too. 8 ways teams use Mintlify to keep docs updated automatically Documentation is your AI interface What three years of watching AI in production taught us Bridging two JSX runtimes: How we solved Astro's React children problem AI agents are shipping faster than anyone can document Knowledge management systems for technical teams Workflows: Automate documentation maintenance Mintlify acquires Helicone to redefine AI knowledge infrastructure Why more product managers are switching to Mintlify Auto-generating documentation sites from GitHub repos Your docs, your frontend, our content engine Take control of your documentation system Almost half your docs traffic is AI, time to understand the agent experience @mintlify for better docs, faster Mintlify for Enterprise Real llms.txt examples from leading tech companies (and what they got right) Mintlify + Claude Opus 4.6: Powering AI-native knowledge management Declaring Clankruptcy: An experiment in agent orchestration Analytics for AI and agent traffic A better way to edit and publish in Mintlify Improved agent experience with llms.txt and content negotiation Your docs are now discoverable by agents Why do we need MCP if skills exist now? skill.md: An open standard for agent skills install.md: A Standard for LLM-Executable Installation Why documentation is one of the most important surfaces for marketers How I built our knowledge base in an afternoon Closing the loop between user questions and documentation 2025: A Year in Review Mintlify Security Event - November 2025 Inside our effort to improve the Mintlify assistant Introducing the next step towards self-updating docs How we eliminated cold starts for 72M monthly page views with edge caching 10 UI fixes I shipped in 10 days The Mintlify agent, now in your dashboard Impact of SHA1-Hulud: The Second Coming on the Mintlify CLI Documentation is dead. Long live documentation. What I shipped in my first 60 days at Mintlify Terminal agents are the future - We're launching mint new How we’re making Mintlify documentation more accessible Building an LSP for your docs The role of good code blocks in documentation The /api Namespace is Now Open Introducing the Mintlify Agent to write documentation with AI We built our coding agent for Slack instead of the terminal Top 7 ways to blend SEO with GEO for explosive brand growth How Mintlify uses Claude Code as a technical writing assistant AI Documentation Trends: What's Changing in 2025 Debugging a mysterious HTTP streaming issue How Pinecone writes documentation How to generate llms.txt Mintlify acquires Trieve to improve RAG search in documentation Behind Replit's Documentation Transformation How often do LLMs visit llms.txt? How Claude's memory and MCP work (and when to use each) Introducing AI Assistant: Turning docs into your product expert My quick formula for docs that convert It's not a race How to hire your first technical writer GEO guide to optimize writing for LLMs How Windsurf writes docs How Anaconda writes documentation Should you generate docs from your API schema? The value of llms.txt: Hype or real? Why we sunsetted mcpt How to use MCP servers to generate docs AI can write your docs, but should it? What is llms.txt? Breaking down the skepticism mcpt: The curated registry for MCP servers Why I joined Mintlify How to audit and overhaul your software documentation What is MCP and how to get started Generate MCP servers from your docs Mintlify vs. Readme: A 2025 Comparison How Generative Engine Optimization is Reshaping Docs Should you build or buy an API documentation tool? When do you really need a monorepo? Fireside Chats: Gong's Approach to Software Documentation The Next Chapter of Mintlify Themes New Devs Don't Read Docs? Maybe It's Not Their Fault Founder Mode: Dub's journey from side project to enterprise link attribution platform Refactoring mint.json into docs.json Breaking down common documentation mistakes What makes good API documentation? Best tools and examples 2024 in Review: Getting Ship Done Five changelog principles from best-in-class developer brands Founder Mode: How Windsurf builds product, from 0 to 1M users Introducing AI Assistant
Automations, rebuilt
Patrick Foster · 2026-04-29 · via Mintlify Blog

When we launched automations in March, we gave teams the ability to define automations as version-controlled Markdown files in their project repos. Write a prompt, set a trigger, and the agent handles the rest.

The idea was sound, but the execution left a lot to be desired. We learned from early users and today we're introducing the next version of automations.

The original design of automations prioritized flexibility. You could write any prompt and set any YAML frontmatter. Starting with an empty file is the ultimate flexibility since you can take it any direction, but this was also the friction.

Writing a good automation prompt that produces reliable output takes iteration. You need to test it, improve it, and measure the results. We are not trying to add another maintenace task. We want to save you time and automate away the tasks you're not excited about so that you can focus on other things.

So we looked at how teams were finding the most success with automations. Two use cases came up over and over:

Keeping content in sync when code ships. When a PR merges in a product repo, something almost always needs updating. Teams were using automations to close that loop automatically, so content didn't lag behind product changes.

Generating changelogs. The work of combing through merged PRs, filtering out info that's important to users, and writing a coherent summary is exactly the kind of task that's easy to skip and painful to catch up on. A recurring automation that handles it once a week is valuable to anyone who doesn't find joy writing a changelog.

Beyond those two primary uses, we saw teams running grammar checks, fixing broken links, keeping translations in sync, and auditing SEO metadata. But there was a consistent pattern of teams trying to solve the same specific problems.

So we improved the templates for those common tasks and made them easier to setup.

Today we're launching a rebuilt automations experience, and it's opinionated.

Instead of asking you to write and maintain prompts, we've built focused, tested automations for the use cases that show up most. Toggle on an automation, choose when it runs, and you're set.

Codebase automations:

  • Codebase updates — Updates content when PRs merge to your product repo.
  • Changelog — Drafts a changelog entry from recent product updates on a recurring schedule.

Maintenance automations:

  • Translations — Keeps configured languages in sync.
  • Broken links — Finds and fixes broken links.
  • SEO — Audits titles, meta descriptions, headings, and canonical tags.
  • Grammar — Catches typos, spelling mistakes, and grammar errors.
  • Brand tone — Enforces your style guide's voice, tone, and rules.

Each automation has sensible defaults built in. We recommend triggers we've seen teams have the best results with and update modes based on what the automation automates. You can override any configuration if your setup calls for something different.

You can also still create custom automations for anything specific to your project. We've just made the most common tasks easier to start automating right away. Any custom automations that you've already created are still supported.

We want to reduce the maintenance burden

When you write an automation prompt yourself, you've got to make sure it's giving you good results. Models improve, edge cases surface, and the prompt that worked six months (or six weeks) ago might not be the one you want today.

With built-in automations, we own that work. As the underlying agent improves and we learn more from how these automations run in production, the quality improves for everyone automatically.

Open the Automations tab in your dashboard and toggle on whichever automations will improve your content.

The first time you enable an automation, you'll be prompted to configure the trigger and how updates should be applied. After that, it runs on its own.

Go take something off your to-do list and let us know what you think.