context-hive
AI as Team Member from Day 0 - A practical framework for AI-native development
pythondockerboilerplatetutorialmicroservicesbest-practicesproject-templatepair-programmingdeveloper-toolsstarter-kitsoftware-architecturedevelopment-framework
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Overview
Context Hive is a development methodology and template collection that positions AI as a full team member from project start by using comprehensive documentation as shared context. Built around Phase 0 pre-start planning, a Hub system for managing dependencies and reading lists and service-based implementation, it enables AI to work more autonomously with minimal corrections by providing complete project context upfront rather than code snippets.
Features
ai-native-developmentcontext-managementdocumentation-drivendependency-graph-generationreading-list-generationmicroservices-architectureservice-metadatatask-definitionsvalidation-toolspre-commit-hooks
Feature Flags
paymentsecommerceteamsOrgsi18naidocumentation
Recommended Use Cases
greenfield-projectsai-collaborationmicroservices-developmentdocumentation-first-developmentteam-based-ai-development
Frontend
None
Backend
fastapipython
Auth Providers
None
Deployment Targets
docker
Payment Providers
None
Quick Facts
⭐ Stars
1
🍴 Forks
0
🧾 License
mit
🔄 Active
Yes
🕒 Last Commit
2025-10-11T12:57:42.000Z
GitHub
Stack
Framework
fastapi
Language
python
Data Layer
UI Stack
Developer Experience
Docker
Yes
Tests
Yes
Quickstart
Yes
env.example
No
CI
pre-commit
Pricing
Classification
free
Selected
—
Notes
Open source MIT licensed project