AyenAutomatesAI Engineering Framework
Build with AI. Keep control of your project.
Stop re-explaining your codebase and hoping the next change respects what already works.
We configure a practical framework that gives your AI coding agents project context, a structured working method, and systematic verification.
Your project should not start from zero with every conversation.
Give the agent access to what matters: the product requirements, existing features, development rules, and relevant change history.
Then make planning and checking part of how it works.
One consistent working loop
A feature request
“Add a CSV export to the project list.”
- 01Understand the project
Read the context and existing project-list behaviour.
- 02Plan the change
Define the export fields, access rules, and expected output.
- 03Challenge the plan
Check edge cases and what existing features could be affected.
- 04Implement
Build the agreed change using the project’s existing patterns.
- 05Verify
Check the export, permissions, and existing filters.
Update the feature map. Keep the context for the next change.
The agent checks what the change affects, identifies decisions that need your input, and verifies the result against the request.
Custom setup and implementation
What we set up for you
Persistent instructions tailored to your project and coding environment.
A feature map that records what exists and stays updated.
Instructions for consulting relevant GitHub changes and project references.
Reusable planning and verification skills or agent roles.
A practical walkthrough using a scoped change in your project.
Built around you
Built around your way of developing
For independent builders, founders, and small development teams using AI to create or maintain software.
This adds structure to AI-assisted development. It does not replace engineering judgement or promise bug-free software.