Summary
I published 22 articles in 4 days using nothing but open-source AI tools and a $50 budget. This isn't a speed-writing hack. It's a systematic workflow: arsenal curation → deep-dive automation → multi-platform publishing. The stack: Codex CLI + DeepSeek ($0 API), ECC for unified agent management, AutoResearchClaw for autonomous research, and social-auto-upload for one-command distribution. Here's the exact setup, what worked, and what didn't.
The 22 Articles
There are 22 articles on my Dev.to profile (all published in 4 days, 2026年5月27日-30日):
| Day | Count | Focus |
|---|---|---|
| 1 | 7 | Foundation: Personal knowledge base, AI writing pipelines, tool comparisons |
| 2 | 3 | Open-source deep dives: The Agency 105K★, Zerox, Firecrawl 67K★ |
| 3 | 5 | Tool deep dives: MUSE-Autoskill, Taste-Skill, Understand-Anything |
| 4 | 7 | Technical: Codex CLI+DeepSeek, ECC 199K★, AutoResearchClaw, Omni-SimpleMem, social-auto-upload |
The Stack
| Tool | What It Does | Cost |
|---|---|---|
| Codex CLI + DeepSeek | AI coding agent, runs locally | $0 |
| ECC (198K★) | Unified agent management | $0 |
| AutoResearchClaw (13K★) | Autonomous research pipeline | $0 |
| Omni-SimpleMem (3.5K★) | Cross-session memory | $0 |
| social-auto-upload (11K★) | Multi-platform publishing | $0 |
| Arsenal Watchdog (custom) | Daily research automation | $0 |
| FM Auto-tagger (custom) | Metadata management | $0 |
The Workflow
- Scout → GitHub Trending + Dev.to reconnaissance
- Curate → Auto-tag and archive with Front Matter
- Deep Dive → Read code, extract insights, write analysis
- Publish → Dev.to via browser_use automation
- Distribute → social-auto-upload pushes to 7 platforms
Key Insights
Automate everything repetitive. After writing 3 articles manually, I automated tag generation, metadata management, and distribution. The remaining 19 articles were semi-automated.
Open-source wins. Every tool in my stack is free and MIT-licensed. The only cost is proxy/VPN ($5/month).
Research first, write second. My arsenal has 118 curated entries. Before writing, I deep-dive the code, the architecture, and the community reception. This makes writing faster and more authentic.
FAQ
Q: Is the quality comparable to manual writing?
A: I edit every article before publishing. The AI handles structure and first draft; I handle voice and critical insight.
Q: How much time per article?
A: Research takes 30-45 min, writing 20-30 min, publishing 5 min. Total ~1 hour per article.
Q: Can anyone replicate this?
A: Yes. All tools are open-source and documented. The hardest part is setting up the initial workflow, which takes about 2 hours.
22 articles in 4 days, built with open-source tools. Check my GitHub for the automation scripts.
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