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Introducing DevPub - Open Source Dev.to CLI Tool

Sarvar Nadaf 2026年08月01日 20:10 0 次阅读 来源:Dev.to

Recently I went looking for a CLI tool to manage my Dev.to articles from the terminal. I write 4-5 articles per month, track analytics obsessively, and wanted a git-backed workflow. I found 9 existing tools. Tried them all. Here's what happened: devto-cli (Node): Last commit 2 years ago. Broke on install. dev-to-git (Node): Only syncs TO local. Can't push back. slinkity : Abandoned. forem-cli : 3 endpoints implemented out of 40+. Every single tool does the same thing: publish an article. That's it. Maybe pull. Maybe validate tags. Meanwhile the Dev.to API has 40+ endpoints including analytics, semantic search, ML-powered content concepts, follower engagement, trend tracking, and reading list management. Nobody uses them. So I built devpub . Table of Contents What devpub does What I discovered in the API The build story Architecture Try it Contributing What devpub does (that nothing else does) # The basics (every tool does this) devpub push -f articles/my-post.md devpub pull # Analytics in your terminal devpub stats # Views: 246.5K | Reactions: 4.4K | Comments: 402 | Followers: 18.9K # Full dashboard with top articles devpub dashboard # AI-powered search (semantic, not keyword) devpub search "building serverless apps" --semantic # What's trending RIGHT NOW devpub trends # Catch problems before publishing devpub validate The difference isn't one feature. It's coverage. Here's the comparison: Capability devpub Everyone else Publish/update articles Yes Yes Pull articles to local Yes Some Analytics (7 endpoints) Yes No Semantic search Yes No Trend discovery Yes No Article validation Yes No Rate limiting (30 req/30s) Yes No Retry logic for failures Yes No Concepts API (ML topics) Yes No What I discovered in the Dev.to API While building devpub, I found several API endpoints that aren't documented anywhere obvious: 1. Semantic Search -- Dev.to has a full embedding-based search system using Gemini embeddings (768-dimensional vectors) with pgvector. You can search articles b

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