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Amplified developers, AI-native development is a platform and suite of tools designed to create, share, and use custom AI code assistants integrated into your existing development environment. It provides open-source IDE extensions, a hub of models, rules, prompts, docs, and other building blocks to accelerate and augment software engineering with AI-native capabilities. The solution emphasizes seamless integration with popular IDEs (VS Code and JetBrains), a modular ecosystem of models and prompts, and collaborative workflows to keep code assistants aligned with evolving AI capabilities.

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How it works

1. Integrate into your dev environment: Install plugins for VS Code or JetBrains to enable AI-powered coding workflows inside your IDE.
2. Discover and compose building blocks: Use a hub of models, rules, prompts, docs, and other building blocks to assemble custom AI code assistants tailored to your environment and practices.
3. Use and evolve: Rely on tab-based autocompletion, reference/chat for codebase questions, and highlight/edit to rewrite code from natural language. Continuously update your assistants as models and codebases change.
4. Manage across contexts: Apply assistants to codebases, issues, documentation, and various blocks to maintain consistency across development activities.

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How it works in your IDE

• Install and run in your IDE of choice (VS Code, JetBrains).
• Access a centralized hub to create, customize, and share AI code assistants.
• Leverage built-in capabilities to autocomplete, reference, chat, highlight, and rewrite code using natural language prompts.

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Models and Contexts

• Supports multiple models (Ollama, OpenAI, Together, Anthropic, Mistral, Azure OpenAI Service, LM Studio, and more).
• Works with diverse contexts: codebases, issues, documentation, files, rules, blocks, and data blocks.
• Provides a unified approach to managing models, prompts, docs, and other building blocks.

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Core Features

• AI-native development with custom AI code assistants tailored to your environment and practices
• IDE integrations for VS Code and JetBrains with seamless installation and usage
• Tab to autocomplete: complete single lines or entire sections of code as you type
• Reference and chat: ask questions about functions, files, or the entire codebase and get context-aware answers
• Highlight and edit: select code sections and rewrite code from natural language
• Central hub of models, rules, prompts, docs, and building blocks for rapid assembly of assistants
• Multi-model support: switch and combine models (Ollama, OpenAI, Together, Anthropic, Mistral, Azure OpenAI, LM Studio, etc.)
• Context-aware assistants across code, issues, and documentation
• Open-source ethos with a hub for sharing and reusing building blocks
• Clear pathways for onboarding, pricing, and enterprise adoption

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How to use Amplified

1. Install the VS Code or JetBrains plugin
2. Browse the Hub to select models, prompts, and rules
3. Create a custom AI code assistant aligned to your workflow
4. Use autocompletion, reference/chat, and rewrite features to code faster and more consistently

Safety and best practices

• Align assistants with your coding standards and security requirements
• Regularly review prompts and models to ensure up-to-date behavior
• Share building blocks responsibly within your organization