feat: Complete star-mono repository setup with monorepo structure and API gateway#1
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feat: Complete star-mono repository setup with monorepo structure and API gateway#1
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Co-authored-by: FlexNetOS <211752339+FlexNetOS@users.noreply.github.com>
…cript Co-authored-by: FlexNetOS <211752339+FlexNetOS@users.noreply.github.com>
Copilot
AI
changed the title
Step-by-Step Commands to Execute
1. Create the Repository on GitHub
bash
# Using GitHub CLI (if you have it installed)
gh repo create FlexNetOS/star-mono --public --description "Unified AI/ML monorepo combining starred repos and tools"
# OR create it ...
feat: Complete star-mono repository setup with monorepo structure and API gateway
Sep 27, 2025
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This PR implements the complete monorepo structure for FlexNetOS star-mono as specified in the repository setup requirements. The changes establish a fully functional foundation for AI/ML development with proper workspace configuration, build system, and automation tools.
Key Changes
Directory Structure
Created the complete monorepo architecture with all required directories:
apps/- User-facing applications (ready for future development)services/- Microservices with working API gatewaypackages/- Shared libraries workspacetrainer/- ML training pipelinesvendor/- Git subtree imports for modified dependenciesexternal/- Git submodule imports for external projectsnotebooks/- Jupyter notebooks for data science workflowsBuild System Fixes
tower-httpdependency configuration by updating features fromcompressiontocompression-brandcompression-gzipCargo.tomlFunctional API Gateway
The API service is now fully operational:
Repository Import Infrastructure
scripts/import-repos.shexecutable with proper permissionsDevelopment Tools
.gitignorefor Rust, Python, Node.js, and IDE filessetup.shscript for automated repository initializationGitHub Actions
The existing
.github/workflows/sync-repos.ymlworkflow is properly configured for:Testing
All components have been tested and verified:
cargo build --workspaceUsage
After merging, users can get started immediately:
This establishes a solid foundation for the AI/ML monorepo that can scale to include all the tools and frameworks mentioned in the project vision.
Original prompt
✨ Let Copilot coding agent set things up for you — coding agent works faster and does higher quality work when set up for your repo.