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docs/ai-coder/best-practices.md

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| Scenario | Description | Examples | Tools |
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|------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------|
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| **Automating actions in the IDE** | Supplement tedious development with agents | Small refactors, generating unit tests, writing inline documentation, code search and navigation | [IDE Agents](./ide-agents.md) in Workspaces |
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| **Developer-led investigation and setup** | Developers delegate research and initial implementation to AI, then take over in their preferred IDE to complete the work | Bug triage and analysis, exploring technical approaches, understanding legacy code, creating starter implementations | [Tasks](./tasks.md), to a full IDE with [Workspaces](./workspaces.md) |
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| **Developer-led investigation and setup** | Developers delegate research and initial implementation to AI, then take over in their preferred IDE to complete the work | Bug triage and analysis, exploring technical approaches, understanding legacy code, creating starter implementations | [Tasks](./tasks.md), to a full IDE with [Workspaces](../user-guides/workspace-access/index.md) |
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| **Prototyping & Business Applications** | User-friendly interface for engineers and non-technical users to build and prototype within new or existing codebases | Creating dashboards, building simple web apps, data analysis workflows, proof-of-concept development | [Tasks](./tasks.md) |
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| **Full background jobs & long-running agents** | Agents that run independently without user interaction for extended periods of time | Automated code reviews, scheduled data processing, continuous integration tasks, monitoring and alerting | [Tasks](./tasks.md) API *(in development)* |
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docs/ai-coder/custom-agents.md

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## Prerequisites
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- A Coder deployment with v2.21 or later
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- A [Coder workspace / template](./create-template.md)
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- A [Coder workspace / template](../admin/templates/creating-templates.md)
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- A custom agent that supports Model Context Protocol (MCP)
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## Getting Started

docs/ai-coder/security.md

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## Use Trusted Models
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Most [agents](./agents.md) can be configured to either use a local LLM (e.g.
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Most agents can be configured to either use a local LLM (e.g.
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llama3), an agent proxy (e.g. OpenRouter), or a Cloud-Provided LLM (e.g. AWS
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Bedrock). Research which models you are comfortable with and configure your
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Coder templates to use those.

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