AI-powered developer workspace for GitHub repos, project intelligence, code review, and team collaboration.
Build faster with AI that understands your real project context — not just generic chat. Connect your GitHub repositories, analyze codebases, review pull requests, and collaborate inside one workspace designed for real engineering work.
Most AI tools stop at chat. Real development happens across repositories, files, pull requests, issues, and team workflows. AI Code Assistant brings project-aware AI into the full software lifecycle so developers can explore code, understand architecture, review quality, and collaborate with context.
- Chat with AI over project and repository context
- Analyze GitHub repositories, issues, and PRs
- Import projects and search across imported files
- Run AI code review and quality analysis
- Collaborate in workspaces with permissions and activity history
- Extend the platform with plugins and capability-based integrations
- Support Stellar / Soroban-aware development workflows
# 1. Clone the project
git clone https://github.com/AyinkxLab/ai-code-assistant.git
cd ai-code-assistant
# 2. Create a virtual environment
python -m venv .venv
source .venv/bin/activate
# 3. Install dependencies
pip install -r requirements-dev.txt
# 4. Configure environment
cp .env.example .env
# 5. Run the app
python run.pyOpen http://localhost:5000 in your browser.
- Developers who want AI help grounded in their actual codebase
- Teams reviewing Pull Requests and project quality
- Engineers working across GitHub repositories and project files
- Builders experimenting with AI workflows, plugins, and repo intelligence
- Project-aware AI instead of generic chat-only tools
- GitHub repo and PR intelligence built into the workflow
- Structured findings with review history and quality signals
- Team collaboration and workspace-level permissions
- Extensible plugin architecture for future integrations