kangentic
Reduces time-to-productivity for AI coding agents by providing pre-built infrastructure for agent orchestration, testing, and deployment, lowering engineerin…
An agentic development environment for AI coding agents
- Build an AI coding agent that writes and tests infrastructure-as-code templates automatically.
- Generate boilerplate configuration files for Docker, Kubernetes, or cloud deployments.
- Ask Claude to scaffold a new microservice with working tests and documentation.
Reduces time-to-productivity for AI coding agents by providing pre-built infrastructure for agent orchestration, testing, and deployment, lowering engineering overhead in multi-agent systems.
Teams building or deploying AI coding agents who need standardized scaffolding and configuration management.
https://github.com/Kangentic/kangentic
By Kangentic
How to Get It
claude plugins install Kangentic/kangentic
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
After installing, paste this into Claude:
Help me build an AI coding agent that writes and tests infrastructure-as-code templates automatically
Trust Signals Auto-scanned
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 129 GitHub stars; contributors unknown; last commit 0d ago; license AGPL-3.0.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
- License (AGPL-3.0) may restrict commercial use. Check with your legal team.
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Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.
Evaluation
Scored from trust signals (evidence-eval-v1): 129 GitHub stars; contributors unknown; last commit 0d ago; license AGPL-3.0.