change ai assistant to ai agent

Author: commit111

docs/concepts/debug.md

@@ -6,10 +6,10 @@ sidebar_position: 650
 
 # Debug
 
-Defang includes an AI-driven tool to help you debug your cloud applications. The AI assistant will use your service logs as well as the files in your project to help you identify and resolve issues.
+Defang includes an AI-driven tool to help you debug your cloud applications. The AI agent will use your service logs as well as the files in your project to help you identify and resolve issues.
 
 :::warning
-The AI debugging assistant is currently in preview and is currently limited in its capabilities. We plan to expand the capabilities of the AI assistant in the future.
+The AI debugging agent is currently in preview and is currently limited in its capabilities. We plan to expand the capabilities of the AI agent in the future.
 :::
 
 ## How it works

docs/concepts/generate.md

@@ -6,17 +6,17 @@ sidebar_position: 100
 
 # Generate
 
-Defang includes an AI-driven assistant that translates natural language prompts to an outline for your project that you can then refine. The AI assistant is available through the [Defang CLI](../getting-started/installing.md).
+Defang includes an AI-driven agent that translates natural language prompts to an outline for your project that you can then refine. The AI agent is available through the [Defang CLI](../getting-started/installing.md).
 
 :::info
-The AI assistant is currently in preview and only supports a limited set of prompts, varying in complexity. We plan to expand the capabilities of the AI assistant in the future.
+The AI agent is currently in preview and only supports a limited set of prompts, varying in complexity. We plan to expand the capabilities of the AI agent in the future.
 :::
 
-We are working on expanding the range of supported prompts and improving the accuracy of the AI assistant. If you have any feedback or suggestions, please let us know by [opening an issue](https://github.com/DefangLabs/defang/issues/new).
+We are working on expanding the range of supported prompts and improving the accuracy of the AI agent. If you have any feedback or suggestions, please let us know by [opening an issue](https://github.com/DefangLabs/defang/issues/new).
 
 ## Example Prompts
 
-Here are some example prompts that the AI assistant can help you with:
+Here are some example prompts that the AI agent can help you with:
 
 ```
 A basic service with 2 REST endpoints. The default endpoint will be for health check and should return a JSON object like this: { "status": "OK" }. The /echo endpoint will echo back all request parameters in the response.

docs/intro.md

@@ -10,7 +10,7 @@ description: Overview of Defang, a radically simpler way to develop, deploy, and
 
 Defang is a radically simpler way for developers to develop, deploy, and debug their cloud applications. Defang enables you to easily author cloud application in any language, build and deploy to the cloud with a single command, and iterate quickly with AI-assisted tooling.
 
-- The [Defang CLI](./getting-started/installing.md) includes an AI-driven assistant that translates natural language prompts to an outline for your project that you can then refine.
+- The [Defang CLI](./getting-started/installing.md) includes an AI-driven agent that translates natural language prompts to an outline for your project that you can then refine.
 - Defang can automatically build and deploy your project with a single command.
     - If you’re new to Defang, you can try deploying to the [Defang Playground](./concepts/defang-playground.md), a hosted environment to learn to use Defang with non-production workloads.
     - Once you’re ready, you can [deploy](./concepts/deployments.md) it to your own cloud account - we call this [Defang BYOC](./concepts/defang-byoc.md). Defang takes care of all the heavy lifting such as configuring networking, security, [observability](./concepts/observability.md) and all the other details that usually slow down the average cloud developer.
@@ -22,8 +22,8 @@ Defang provides a streamlined experience to develop, deploy, observe, and update
 
 - Support for [various types of applications](./use-cases/use-cases.md): Web services and APIs, mobile app backends, ML services, hosting LLMs, etc.
 - Support for your programming [language of choice](./samples.md): Node.js, Python, Golang, or anything else you can package in a Dockerfile.
-- Built-in AI assistant to go [from natural language prompt to an outline project](./concepts/generate.md)
-- Built-in AI assistant to help you [debug your cloud applications](./concepts/debug.md)
+- Built-in AI agent to go [from natural language prompt to an outline project](./concepts/generate.md)
+- Built-in AI agent to help you [debug your cloud applications](./concepts/debug.md)
 - Automated [Dockerfile builds](./concepts/deployments.md)
 - Support for [pre-built Docker containers](./tutorials/deploy-container-using-the-cli.mdx), from public or private image registries
 - Ability to express your project configuration using a [Docker Compose YAML](./concepts/compose.md) file

docs/use-cases/use-cases.md

@@ -10,7 +10,7 @@ Defang can be used for a wide variety of use cases, generally in line with the [
 
 ## Web Services and APIs
 
-Defang can be used to deploy web services and APIs. You can use any programming language you like, and you can use the built-in AI assistant to help you get started.
+Defang can be used to deploy web services and APIs. You can use any programming language you like, and you can use the built-in AI agent to help you get started.
 
 Defang is a great choice for stateless web services and APIs because it takes care of all the heavy lifting such as configuring [networking](../concepts/networking.mdx), [security](../concepts/security.md), and [observability](../concepts/observability.md), and will give you a nice, [horizontally scalable](https://12factor.net/concurrency) deployment.