Meta is taking the next step toward full automation of its support systems, with its AI-driven Developer Assistant now serving as the primary tool for developers building with Meta's systems.Primary support tool。

Now, when developers encounter issues in Meta's support process, they are first greeted by an AI assistant. Meta says the assistant is "ready to help you troubleshoot issues, understand compliance requirements, and get you back to development work as quickly as possible."

Meta's official statement: "The Meta AI Developer Assistant is now the primary support path at developers.facebook.com/support. Developers no longer need to search through multiple pages of documentation or submit tickets and wait for responses; they can simply describe their problem in natural language and immediately receive targeted, context-aware answers."

The Meta AI Developer Assistant is integrated with Meta's developer documentation, API references, and platform insights data. Its design goal is to answer specific questions based on systematic knowledge and specific application context.

Given Meta's increasing reliance on AI tools to facilitate various engineering tasks within the organization, deploying this advanced programming support tool is a logical move.

Meta is keen to showcase how AI systems can replace human labor, using its own business operations as a demonstration case. The companyhas cut 20% of its workforce this year, and has replacedcontent moderationand other roles with AI agents.

In an interview last year on theJoe Rogan podcast, Meta CEO Mark Zuckerbergstated that the company plans to convert human roles into AI-based functions, adding that AI "can actually act as a mid-level engineer at your company, capable of writing code."

Given Meta's continued investment in AI development and its subsequent need to sell AI tools as workforce optimization solutions to other companies, it makes sense that Meta wants to use its own AI systems. The idea is that this can serve as a live demonstration of AI's advantages in efficiency and cost-effectiveness.

However, concerns remain about whether AI can control functions that traditionally require human oversight.

In June of this year, Meta reported that a "runaway AI agent" unexpectedlygranted unauthorized access to some users' Instagram accountsafter they requested it. This ultimately led to more than20,000 Instagram usershaving their accounts hijacked, highlighting the critical risks of giving AI agents full access and control over sensitive operations.

Given AI chatbots' ability to interpret intent from conversational queries, such exploits seem difficult to avoid. The ways people ask these tools to perform actions are nearly endless, making it an impossible task to restrict their behavior. Giving support tools more data access and agency will further exacerbate this risk.

But clearly, Meta plans to continue patching vulnerabilities as it progresses, continuing its AI transformation mission.