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Signed-off-by: Luke Hinds <[email protected]>
@lukehinds lukehinds merged commit 6b310b4 into main Dec 27, 2025
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Summary of Changes

Hello @lukehinds, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request focuses on enhancing the homepage's presentation and clarity. It involves minor adjustments to the logo size and a significant update to the main tagline to more accurately convey the project's purpose. Additionally, a new visual section has been introduced to succinctly showcase core features, improving the overall user experience and immediate understanding of the project's value.

Highlights

  • Logo Resizing: The main logo on the homepage has been reduced in size for better visual balance.
  • Updated Tagline: The primary heading/tagline on the homepage has been revised to better reflect the project's focus.
  • New Feature Section: A new section featuring 'grid cards' has been added to highlight key aspects of the project: Diverse Data, Real Execution, and Validated Output.
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Code Review

This pull request improves the formatting and content of the homepage. The logo size is adjusted, the main subtitle is updated for clarity, and a new section with key features is added using Material for MkDocs cards. The changes are good and enhance the presentation of the project. I've added one suggestion to prefer Markdown syntax over raw HTML for better maintainability.

<img src="images/logo-light.png" alt="DeepFabric Logo" width="400"/>
</p>
<h3>Synthetic Training Data for Agents</h3>
<h3>Focused Training for more Grounded and Efficient Models</h3>
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medium

For better maintainability and to prefer Markdown syntax over raw HTML, you can use a Markdown heading instead of the <h3> tag. The md_in_html extension is enabled, so this will be rendered correctly as a centered heading within the parent <div>.

Suggested change
<h3>Focused Training for more Grounded and Efficient Models</h3>
### Focused Training for more Grounded and Efficient Models

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