Building AI Agents for Social Media with TypeScript and Hono.js
Article summary
Quick briefing — cleaned from the original RSS feed
Everyone's talking about AI agents right now, but most tutorials stop at "call an LLM in a loop." If you actually want an agent that runs unattended — fetches data, thinks about it, writes content, and publishes it — you need a real backend, not just a prompt. This post walks through the architecture I use for exactly that: a scheduled agent that finds fresh data, drafts social posts with Claude, and publishes them, built entirely on Hono.js running on Cloudflare Workers. I'll use "post finance…
1Key Takeaways
- Everyone's talking about AI agents right now, but most tutorials stop at "call an LLM in a loop." If you actually want an agent that runs unattended — fetches data, thinks about it, writes content, and publishes it — you need a real backend, not just a prompt.
- This post walks through the architecture I use for exactly that: a scheduled agent that finds fresh data, drafts social posts with Claude, and publishes them, built entirely on Hono.js running on Cloudflare Workers.
2AIWedia Score
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — AI reports that everyone's talking about AI agents right now, but most tutorials stop at "call an LLM in a loop." If you actually want an agent that runs unattended — fetches data, thinks about it, writes content, and publishes it — you need a real backend, not just a prompt.
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