Context Engineering for AI

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The Rapid Prototypers

This is a fairly new category where you use prompts to generate prototypes with code and a preview instantly. This is subtly different from full-stack AI app builders in that these are tuned to generating just enough code fit for a prototype, and not a full blown app. For instance, they use mock data, and don’t bother producing production-ready code with integrations with the right tools like a database or some external API.

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Agent-Centric Platforms

Agentic AI platforms are designed to manage other AI agents to work together as a single autonomous AI application. Common usages include customer service, data analysis, and coding, and they often offer low-code builders, orchestration, and enterprise-grade security for automated workflows. These are capable of building large autonomous AI applications with complex features and functionalities, and can be used on a large scale for huge and intensive tasks.

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Specialized AI Tools

These services, as the category’s name suggests, are built for specific domains, like design, video, audio, and so on. There are popular ones for each domain, such as Midjourney and DALL-E for image generation, RunwayML, OpenArt and Gemini with Veo for video, ElevenLabs for voice, Framer AI for web design, and Mutable AI for documentation, among many others.

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AI-Powered Code Assistants & IDEs

These platforms are a niche category of AI platforms. They offer Tools that help you write code faster using AI. While they can be used to build complete applications, they’re primarily designed as code assistants. You give them access to your code, they use it as context, and provide relevant suggestions as you write.

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All-in-One AI Development Platforms

Beyond IDEs, there are complete AI-equipped development suites for building applications. These usually include a development environment such as an IDE, terminal, or visual builder, along with AI agents. They often provide monitoring, observability, and model fine-tuning capabilities, making them highly customizable. Think of every category discussed earlier, and you’ll likely find some or all of those features in these platforms. Examples include Google Vertex AI, Azure AI Studio, AWS Bedrock with SageMaker, Hugging Face Spaces, and Modal.

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