Developers as the distribution layer of AGI (OpenAI Dev Day 2025, ft. Sherwin Wu and Christina Huang)
This Latent Space newsletter post recaps OpenAI's 2025 Dev Day, highlighting the company's commitment to developers through new models, an Apps SDK for ChatGPT, and the AgentKit for building, deploying, and optimizing AI agents. It includes an interview with members of the OpenAI Platform team, discussing the technical details and developer-centric vision behind these releases.
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Developer Empowerment: OpenAI is doubling down on providing tools and platforms (Apps SDK, AgentKit) that enable developers to build and distribute AI-powered applications, positioning them as key players in spreading the benefits of AGI.
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Apps within ChatGPT: The Apps SDK allows developers to build "real apps" directly inside ChatGPT, offering interactive and personalized experiences for users, marking a significant evolution from previous plugin attempts.
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AgentKit Ecosystem: AgentKit provides a comprehensive suite for building, deploying, and evaluating AI agents, incorporating components like Agent Builder, connector registries, and evaluation tools, and aiming to simplify the agent development lifecycle.
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Iterative Development: OpenAI's approach to product development involves constant iteration based on developer feedback, as seen in the evolution from plugins to the Apps SDK and the AgentKit.
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Developers as the Distribution Layer: The newsletter underscores the idea that developers are crucial for extending the reach of AGI, with OpenAI providing the tools and infrastructure to facilitate this distribution.
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MCP Protocol Adoption: OpenAI's embrace of the MCP protocol signifies a commitment to open standards and collaboration within the AI community.
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The importance of prompting: Even with advanced agent-building tools and models, effective prompting remains essential for achieving desired outcomes, prompting optimization tools are getting better and better to make up for quirks in new models.
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Codex-assisted development: OpenAI engineers are increasingly relying on Codex, the company's AI code generation tool, to accelerate development workflows, emphasizing the transformative potential of AI in software engineering.