With Doc-E.ai, you can streamline this process by extracting community insights from developer hubs and turning them into actionable blog topics, tutorials, and videos. This step-by-step guide shows you how to use Doc-E.ai to craft content that developers will find practical and engaging.
Start by signing up for Doc-E.ai on their official site. After logging in, connect your account to platforms like GitHub, Stack Overflow, and Slack to enable comprehensive data analysis. This integration pulls real-time developer feedback for deeper insights.
In the “Insights” tab, select platforms like GitHub Issues or Slack channels to analyze developer conversations. Doc-E.ai scans these discussions to paipoint trending pain points, such as common bugs or feature requests.
After analysis, Doc-E.ai delivers a report of recurring themes and queries. These insights fuel your content pipeline, revealing what developers need most in software development.
Navigate to “Content Suggestions” in Doc-E.ai. The AI transforms insights into tailored content ideas, which you can filter by type—blog posts, tutorials, or video scripts. Add keywords to refine suggestions for your audience.
Doc-E.ai ranks ideas by popularity and engagement potential. Sort them to focus on high-impact topics or those tied to your product. Enhance ideas with specific best practices or code snippets for relevance.
Use Doc-E.ai’s drafting tools to outline or write blog posts and tutorials. For videos, export scripts and add visuals. Publish to your blog, documentation site, or video platform.
Post-publishing, track performance with Doc-E.ai’s content analytics. Measure engagement and use feedback to tweak future content, keeping it aligned with developer needs.
Manually mining developer communities is slow and inefficient. Doc-E.ai automates this, delivering data-driven ideas that save time and boost relevance. Whether it’s how-to guides or API documentation, Doc-E.ai ensures your content delivers value.