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Resources & Talent

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Learning Resources

Everything your team needs to adopt governed AI engineering

Clear documentation, practical tutorials and reusable building blocks so your developers can adopt AI engineering with confidence.

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Documentation

Comprehensive, versioned docs for every product, API and SDK.

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Tutorials & Courses

Step-by-step guides and structured courses from first steps to advanced workflows.

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Templates & Recipes

100+ ready-to-use templates, starter kits and integration recipes.

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Community

A practitioner community for questions, patterns and governed-AI delivery best practices.

Trained AI Talent

Engineers who already know how to build with AI

Beyond GMMCode, we also provide vetted, AI-trained engineering talent that can embed with your team and contribute production code from day one — one of the small service projects that keeps our team resourceful and learning.

How our talent works with you

  • Rigorously vetted engineers trained on modern AI tooling and workflows
  • Embed directly with your team or work as a managed pod
  • Skilled across full-stack, ML/AI, data and platform engineering
  • Flexible engagements, short sprints to long-term partnerships
  • Onboarded to your stack, standards and security requirements

Request Talent

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Engagement Models

Flexible ways to bring our talent on board

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Embedded Engineers

Individual specialists who join your team, attend your standups and ship inside your repos.

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Managed Pods

A self-contained squad delivering an outcome end-to-end, operating inside GMMCode's governed pod structure, with the same gates and audit trail as our platform.

Project Sprints

Time-boxed engagements to accelerate a specific build, migration or proof of concept.

Need resources or people?

Whether you want documentation access or AI-trained engineers on your team, we can help.

Get in Touch