Claude Pipeline Template

C 62 completed
Devops
unknown / yaml · tiny
19
Files
1,165
LOC
0
Frameworks
2
Languages

Pipeline State

completed
Run ID
#350068
Phase
done
Progress
1%
Started
Finished
2026-04-13 01:31:02
LLM tokens
0

Pipeline Metadata

Stage
Skipped
Decision
skip_scaffold_dup
Novelty
28.55
Framework unique
Isolation
Last stage change
2026-04-16 18:15:42
Deduplication group #48509
Member of a group with 1 similar repo(s) — canonical #80943 view group →
Top concepts (2)
Project DescriptionTemplate/Starter
Want fix-PRs on findings? Install Repobility's GitHub App · github.com/apps/repobility-bot

AI Prompt

Create an end-to-end autonomous AI development pipeline template for GitHub. I need it to automate the entire development loop, including planning, coding, testing, reviewing, and deployment, specifically using Claude Code. The pipeline should support workflows triggered by `@claude` comments, automated testing on PRs, and an orchestrator that triggers the next story upon merge. Please include setup instructions for required secrets like `CLAUDE_CODE_OAUTH_TOKEN` and the necessary GitHub branch protection rules.
yaml github ai automation devops cicd claude workflow template
Generated by gemma4:latest

Catalog Information

An end‑to‑end autonomous AI development pipeline template that automates planning, coding, testing, reviewing, and deployment using Claude Code.

Description

This template provides a fully autonomous development loop powered by Claude Code. It starts with a planner that generates epics and stories, then triggers AI‑driven code generation and commits. Automated tests run on each change, and the system attempts to fix failures up to three times. Review bots provide feedback, which is relayed back to the AI for refinement. Once the code passes all checks, the orchestrator merges the pull request and triggers the next story, while a watcher monitors the pipeline for stalls.

الوصف

يقدّم هذا القالب حلقة تطوير آلية بالكامل مدعومة بـ Claude Code. يبدأ بمخطط يكوّن قصصاً وأهدافاً، ثم يُطلق توليد الكود الذكي مع الالتزام بالتحكم في الإصدارات. تُشغَّل اختبارات تلقائية على كل تعديل، ويُحاول النظام إصلاح الأخطاء حتى ثلاث مرات. تقوم روبوتات المراجعة بتقديم ملاحظات، تُعاد إلى الذكاء الاصطناعي لتحسين الكود. عند اجتياز جميع الاختبارات، يُدمج الطلب تلقائياً ويُطلق القصة التالية، بينما يراقب مراقب سير العمل أي توقفات.

Novelty

8/10

Tags

ai-code-generation autonomous-development continuous-integration automated-testing review-automation workflow-orchestration pipeline-automation

Claude Models

claude-opus-4.6

Quality Score

C
61.8/100
Structure
42
Code Quality
100
Documentation
30
Testing
15
Practices
78
Security
100
Dependencies
50

Strengths

  • CI/CD pipeline configured (github_actions)
  • Low average code complexity \u2014 well-structured code
  • Good security practices \u2014 no major issues detected

Weaknesses

  • No LICENSE file \u2014 legal ambiguity for contributors
  • No tests found \u2014 high risk of regressions

Recommendations

  • Add a test suite \u2014 start with critical path integration tests
  • Add a linter configuration to enforce code style consistency
  • Add a LICENSE file (MIT recommended for open source)

Security & Health

4.1h
Tech Debt (D)
A
OWASP (100%)
PASS
Quality Gate
A
Risk (8)
Same scanner, your repo: https://repobility.com — Repobility
Unknown
License
0.0%
Duplication
Full Security Report AI Fix Prompts SARIF SBOM

Languages

yaml
77.3%
markdown
22.7%

Frameworks

None detected

Concepts (2)

Repobility · code-quality intelligence · https://repobility.com
CategoryNameDescriptionConfidence
Citation: Repobility (2026). State of AI-Generated Code. https://repobility.com/research/
auto_descriptionProject DescriptionA GitHub template repository that sets up a fully autonomous AI development pipeline using Claude Code.80%
auto_categoryTemplate/Startertemplate60%

Quality Timeline

1 quality score recorded.

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