autocode
Reduces time between specification and deployed code by automating scaffolding and boilerplate generation.
A pack of 46 Claude Code skills built on the I-Lang v3.0 specification language, intended to take a project from natural-language spec to deployed code in one session. Free to use.
- Generate Kubernetes manifests and deployment configs from natural language descriptions
- Scaffold microservice boilerplate with CI/CD pipelines in one pass
- Auto-generate infrastructure code for multi-environment deployments
Reduces time between specification and deployed code by automating scaffolding and boilerplate generation. Cuts iteration cycles for infrastructure-as-code and service deployment.
DevOps teams and platform engineers who need rapid prototyping of infrastructure components and microservices without manual setup overhead.
https://github.com/ilang-ai/autocode
By ilang-ai
How to Get It
claude plugins install ilang-ai/autocode
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 generate Kubernetes manifests and deployment configs from natural language descriptions
Trust Signals Auto-scanned
Community Pulse Active
Discussed on Hacker News, Reddit
- Tony Brooker, creator of Mark 1 Autocode, has died — Hacker News · 433 pts
- Autocode is coming to OpenAI — Reddit · 310 pts
- How to Use Google Sheets as a Database (Responsibly) With Node.js and Autocode — Reddit · 269 pts
3 mentions across 2 sources
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
catalog_hygiene stale-eval refresh: Scored from trust signals (evidence-eval-v1): 85 GitHub stars; 7 contributors; last commit 46d ago; license MIT.
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.
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Evaluation
catalog_hygiene stale-eval refresh: Scored from trust signals (evidence-eval-v1): 85 GitHub stars; 7 contributors; last commit 46d ago; license MIT.