
Hashnode
Readers ask about your latest articles. Contributors need publication details. Your AI agent fetches posts, manages comments, and surfaces content from your Hashnode blog instantly. Developer communities stay engaged and content stays discoverable around the clock.




From fetching posts to managing comments across publications, your AI agent taps into Hashnode's GraphQL API to keep your developer content accessible and interactive.
Hashnode
See how engineering teams and developer advocates use AI agents to make their Hashnode blogs more interactive and discoverable.
A developer visits your site and asks about your recent post on GraphQL best practices. Your AI Agent searches your Hashnode publication by keyword, finds three matching articles in the series, and shares the titles with direct links. The developer finds exactly what they need without scrolling through archives. Your blog engagement increases with zero manual effort.
A reader leaves a technical question as a comment on your tutorial. Your AI Agent detects the comment through Hashnode's API, identifies it as a question rather than spam, and posts a helpful reply pointing to the relevant documentation section. The commenter gets a fast response. Your community feels active and supported without your team monitoring every thread.
A freelance writer asks about contributing to your engineering blog. Your AI Agent retrieves the publication details, team structure, and pending invitation list from Hashnode, then shares the submission guidelines, active series topics, and how to request an invite. New contributors onboard themselves. Your editorial team focuses on content quality, not administrative emails.

Hashnode
FAQs
The agent uses Hashnode's Fetch Posts API with your publication hostname to retrieve paginated post lists. It can filter by series slug or browse through the feed to find relevant articles. For exact matches, it calls the Fetch Single Article endpoint using the post slug to get full content.
Yes. The agent uses Hashnode's Add Comment mutation with the post ID and content in markdown or HTML format. For threaded discussions, it includes the replyToCommentId parameter. Comments appear under the authenticated account, so configure the PAT for the intended team member or bot account.
Tars requires a Hashnode Personal Access Token (PAT) generated from your Hashnode account settings. The PAT grants access to the GraphQL API for reading posts, publications, and user data, plus writing comments and replies. You can revoke the token at any time from your Hashnode dashboard.
No. The agent queries Hashnode's GraphQL API in real time during each conversation. Blog posts, comments, and publication data are fetched live and used only to respond to the current request. No content is cached or duplicated in Tars systems.
Yes. The agent can query different publication hostnames within the same conversation. If you manage several Hashnode blogs, the agent uses the List Publications endpoint to identify them and then fetches posts from whichever publication the user is asking about.
The Hashnode widget displays posts statically. With Tars, your AI agent has a live conversation about your content, answering specific questions, recommending articles based on context, and engaging with comments. It works across WhatsApp, SMS, and web, and connects to your other tools like GitHub or Slack.
The agent handles this gracefully. When a Fetch Single Article call returns no results, the agent informs the visitor that the specific post is unavailable, suggests related articles from the same series or tag, and offers to connect them with the content team if needed.
Yes. The agent can fetch pending invitations through Hashnode's Fetch Invitations endpoint and accept invites using the Accept Invite mutation with the provided token. This allows automated onboarding of new contributors to your publication without manual dashboard navigation.
Don't limit your AI Agent to basic conversations. Watch how to configure and add powerful tools making your agent smarter and more functional.

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