人们和AI代理需要上下文才能完成工作，但这些上下文通常分散在从Slack到Google Docs的各种系统中。找到它并理解它们如何组合在一起可能是一项挑战。
这就是为什么Stack Overflow（在新窗口中打开）正在构建一个知识智能平台，该平台统一这些来源，并将原始上下文转化为经过验证的知识，供人们和代理在任何工作场所使用。
GPT‑6 Astra和GPT‑6 Sol等OpenAI模型为该平台的AI提供支持，任务根据所需的推理和成本路由到不同的模型。Codex帮助该公司的工程师构建产品，而ChatGPT插件使他们更新的代理产品Stack Overflow for Agents更容易被发现和使用。
“我们为Stack Overflow for Agents构建了一个ChatGPT插件，我们的注册量一夜之间增加了两倍。”
—Alexandra Lato，Stack Overflow产品副总裁
两名工程师用Codex在几周内交付一个全新产品
Stack Overflow for Agents将Stack的智能层扩展到代理，它始于一个假设和两名使用Codex的工程师。工程师们给Codex提供了一个开发环境和一份计划，然后与它合作构建产品。Alex说，在几周内，他们就拥有了一个成熟的产品。
“所以这确实让他们的团队感觉更庞大了，”Alex说。“他们能够扔给它一个容器并说，‘这是我们的计划，帮我们构建它。’”
用Codex在几天而非几周内开发连接器
Stack Internal是Stack Overflow的企业产品，需要连接到组织存储知识的所有系统。构建这一能力需要比Stack Overflow for Agents背后的两名工程师投入更多的人力，但Codex也在加速这项工作。
Alex描述了使用Codex为企业产品追求更短的市场路径：三个月而不是一年。构建连接器就是一个具体例子。
“平均而言，我们构建一个连接器需要3到6周。借助Codex，我们能够在4天内完成。”
—Alexandra Lato，Stack Overflow产品副总裁
最近，该团队在一天内构建了一个连接器。通过加速连接器开发，Codex帮助Stack Overflow更快地将企业产品推向市场。
通过ChatGPT插件增加代理创建和注册量
一旦Stack Overflow for Agents准备好分发，团队就需要一种方法将其融入人们的工作流程。他们构建了一个ChatGPT插件，以便用户可以在ChatGPT中发现并设置该产品，步骤比传统的模型上下文协议（MCP）设置更少。
“一旦你有了插件，它就能与ChatGPT实现无摩擦的设置。”
—Alexandra Lato，Stack Overflow产品副总裁
Alex说，该插件使注册量增加了两倍，并加速了代理创建：“我上次查看时，我想我们已经达到了10倍。”
通过Decisions API减少配置工作
Stack Overflow管理自己的模型路由和配置，但Alex希望探索使用Decisions API来减少部分工作，并将更多工程能力投入产品。
“如果我们能够通过OpenAI直接实现自动化，那将为我们节省大量时间和金钱，使我们能够更多地专注于我们正在构建的实际产品，而不是围绕它的护栏，”Alex说。
扩展到整个知识生命周期
Stack Overflow还在努力扩展其知识产品，以实现人们所学内容的共享。迄今为止，其重点一直是引入信息。现在，Alex正在闭环，以便在与开发人员或工程以外人员的一对一会话中获得的知识也能帮助其他人。
“当我在学习时，我如何确保我组织的其他成员也在与我一起学习？”Alex说。“我真的很期待构建一个能够支持完整知识生命周期的产品。”
People and AI agents need context to get work done, but it’s usually scattered across systems, from Slack to Google Docs. Finding it and understanding how it all fits together can be a challenge.
That’s why Stack Overflow(opens in a new window) is building a knowledge intelligence platform that unifies those sources and turns raw context into verified knowledge available wherever people and agents work.
OpenAI models like GPT‑6 Astra and GPT‑6 Sol power the platform’s AI, with tasks routing to different models based on the reasoning required and cost. Codex helps the company’s engineers build the products, while a ChatGPT plugin makes their newer agentic product, Stack Overflow for Agents, easier to discover and use.
“We built a ChatGPT plugin for Stack Overflow for Agents, and our registrations tripled overnight.”
—Alexandra Lato, VP of Product, Stack Overflow
Two engineers ship a net-new product in a few weeks with Codex
Stack Overflow for Agents, which extends Stack’s intelligence layer to agents, began with a hypothesis and two engineers using Codex. The engineers gave Codex a development environment and a plan, and then worked with it to build the product. Within a few weeks, Alex says, they had a full-fledged product.
“So it really made their team feel bigger,” Alex says. “They were able to throw a container at it and say, ‘This is our plan, help us build it.’”
Developing connectors in days, not weeks, with Codex
Stack Internal, Stack Overflow’s enterprise product, needs to connect to all the systems where organizations keep their knowledge. Building this capability requires more human involvement than the two-engineer effort behind Stack Overflow for Agents, but Codex is accelerating this work, too.
Alex describes using Codex to pursue a much shorter path to market for the enterprise product: three months rather than a year. Building connectors is one concrete example.
“On average, it takes us 3 to 6 weeks to build one connector. With Codex, we were able to build it within 4 days.”
—Alexandra Lato, VP of Product, Stack Overflow
More recently, the team built a connector in a single day. By accelerating connectors, Codex helps Stack Overflow bring enterprise products to market faster.
Increasing agent creation and signups with a ChatGPT plugin
Once Stack Overflow for Agents was ready for distribution, the team needed a way to get it into people’s workflows. It built a ChatGPT plugin so users could discover and set up the product in ChatGPT, with fewer steps than a traditional Model Context Protocol (MCP) setup.
“Once you have a plugin, it becomes a frictionless setup with ChatGPT.”
—Alexandra Lato, VP of Product, Stack Overflow
Alex says the plugin tripled registrations and accelerated agent creation: “I think we were up to 10X last time I checked.”
Reducing configuration work with the Decisions API
Stack Overflow manages its own model routing and configuration, but Alex hopes to explore using the Decisions API to reduce some of that work and put more engineering capacity into the product.
“If we’re able to automate that through OpenAI directly, that saves us a ton of time and money, allows us to focus more on the actual product we’re building rather than the guardrails around it,” Alex says.
Expanding across the full knowledge lifecycle
Stack Overflow is also working on expanding its knowledge product to enable sharing of what people learn. To date, its focus has been pulling information in. Now, Alex is closing the loop so knowledge gained in a one-to-one session with a developer or someone outside engineering can help others, too.
“As I’m learning, how do I make sure that the rest of my organization is learning with me?”, said Alex. “I’m really looking forward to building a product that allows for that full knowledge life cycle.”
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