A: Hey Jamkwon,

That's a great question about using AI agents for direct software development and website adjustments.

Currently, AgenticFlow is not optimized for tasks like writing complex code from scratch, debugging large codebases, or directly manipulating website code (like HTML/CSS/JS adjustments) in the way a development-focused AI agent (like those from Replit, Cursor, or potentially GitHub Copilot Workspace) would.

While our agents can generate code snippets or discuss coding concepts using their underlying LLMs, and can interact with developer tools via APIs (like posting to GitHub via MCP or triggering builds via API Call node), they are not designed to function as autonomous software engineers or web developers building or modifying applications directly.

Our primary focus right now is on automating workflows related to sales, marketing, content creation, operations, and customer support by connecting existing tools and leveraging AI for text/data/media processing within those workflows.

Building agents that reliably write and modify production code involves a different set of capabilities (code execution environments, deep codebase understanding, robust testing) which are not our current core focus.

So, while you can use AgenticFlow around your development process (e.g., summarizing commit messages, generating documentation outlines, automating notifications), it's not currently suited to replace the development work itself.