Build fast, consistent, and scalable code

AIHyperContext is an open-source library that allows you to organize and create hypercontext modules for AI, offering greater control over the code generated by models. Achieve fast, consistent, and scalable results, available from the AI chat or integrated into multiple pipelines.

How it works?

AIHyperContext organizes modules that generate structured hypercontext for AI, allowing you to define strict development rules established by your technical team. Create modules and pipelines and execute them using their identifier. Reduce token consumption and speed up result generation.
Examples of commands:
  • “@aich-form” create a form with fields “login” and “password” in @aihc-position1
  • “@aich-api” connect form to endpoint “/auth” using method “POST”
  • “@aich-translate” translate this page
  • “@aich-push-dev” publish to development environment

Library Structure

The library is organized into configuration folders, modules, pipelines, and tasks, as well as custom structures. Each module includes detailed documentation, strict rules, and real implementation examples. You can create your own modules and pipelines to adapt them to your project's needs, following standards defined by your technical team.
Folder structure:

src
└ aihypercontext
  ├ config 
  │ └ config.md
  ├ modules
  │ ├ translate
  │ │ ├ example
  │ │ │ └ translate.tsx
  │ │ ├ translate.md
  │ │ └ ...
  │ ├ form
  │ │ ├ api
  │ │ ├ modal
  │ │ └ ...
  ├ pipelines
  │ └ push-dev
  │   ├ push-dev.md
  │   └ ...
  ├ task
  │ └ task.md
  └ <custom-folder>

Modules

Create or download hypercontext modules. Each module includes documentation, specific rules, and functional code examples.
Example module: translate
Command: "@aich-translate this page"
Description: Allows adding or updating multilingual support on a specific page or throughout the application. Define the languages within the module and execute it from the AI chat or within a pipeline.
Example execution of the "@aich-translate" module:

1. The AI receives "@aihc-translate this page"
2. Applies global rules
3. Loads the translate module
4. Checks if i18n is available, if not, installs and configures it
5. Creates JSON files for the languages defined in the module
6. Replaces the translated IDs in the JSON files
7. Finally, type "@aich-publish" to execute tests and publish changes

Result: Fast, consistent, and scalable code. Reducing token consumption, ideal for development teams to optimize their workflow.

Get Started

AIHyperContext is in active development. If you want to participate in its evolution, leave us your email address.

R&D for Your Company

At AIHyperContext, we are developing artificial intelligence tools capable of producing code quickly, consistently, and at scale. This advancement optimizes development time and significantly reduces operational costs, including token consumption.
Your company can be part of this progress from the beginning.
By sponsoring our R&D program, you not only drive technological innovation but also gain early access to solutions that can be directly integrated into your processes, improving efficiency and competitiveness.
We are launching an exclusive sponsorship program for companies. Organizations that join in the early stages will gain strategic advantages, such as priority visibility within the AIHyperContext ecosystem and a prominent position as drivers of this technology.
Invest in the innovation your company needs, become a sponsor, or contribute through a donation and be part of it.
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