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Solution PlaysPlay 24: Play 24 β€” AI Code Review Pipeline πŸ”

Play 24 β€” AI Code Review Pipeline πŸ”

Automated PR review with static analysis, LLM-powered code comments, and merge gates.

AI reviews every pull request automatically. Static analysis catches syntax and style, GPT-4o reviews for security vulnerabilities and logic errors, OWASP scanning catches dependency issues. Actionable comments posted directly to GitHub PR. Critical findings block merge.

Quick Start

cd solution-plays/24-ai-code-review-pipeline # Copy workflow to your repo cp .github/workflows/ai-code-review.yml YOUR_REPO/.github/workflows/ code . # Use @builder for pipeline, @reviewer for quality audit, @tuner for FP reduction

Architecture

ServicePurpose
GitHub ActionsCI/CD pipeline trigger on PR events
Azure OpenAI (gpt-4o + mini)LLM code review (routed by file type)
Static Analysis (ESLint/Pylint)First-pass syntax and style checks
OWASP Dependency CheckVulnerability scanning on dependencies
GitHub PR APIPost review comments to correct lines

Review Pipeline

PR Created β†’ Changed Files β†’ Static Analysis β†’ LLM Review β†’ Post Comments β†’ Merge Gate β”‚ β”œβ”€β”€ Security files β†’ gpt-4o (OWASP, secrets, injection) β”œβ”€β”€ Logic files β†’ gpt-4o (errors, performance, patterns) └── Style/tests β†’ gpt-4o-mini (naming, docs, best practices)

Key Metrics

  • Comment actionability: β‰₯80% Β· False positive: <15% Β· Review latency: <3min Β· OWASP: 100%

DevKit (Code Review-Focused)

PrimitiveWhat It Does
3 agentsBuilder (pipeline/prompts/merge gates), Reviewer (FP rate/quality audit), Tuner (prompt optimization/model routing)
3 skillsDeploy (103 lines), Evaluate (105 lines), Tune (101 lines)
4 prompts/deploy (GitHub Actions), /test (review pipeline), /review (quality audit), /evaluate (FP rate)

Note: This is a DevOps/developer tooling play. TuneKit covers review prompt optimization, model routing by file type (security→4o, tests→mini), severity thresholds, false positive reduction strategies, and cost per review (~$0.07/PR) — not AI product quality.

Cost

DevProd (50 PRs/day)
$20–50/mo~$105/mo ($0.07/PR Γ— 50 Γ— 30)

πŸ“– Full docs Β· 🌐 frootai.dev/solution-plays/24-ai-code-review-pipelineΒ 

FAI Manifest

FieldValue
Play24-ai-code-review-pipeline
Version1.0.0
KnowledgeO2-Agent-Coding, T3-Production-Patterns, F4-GitHub-Agentic-OS
WAF Pillarssecurity, reliability, operational-excellence, responsible-ai
Groundednessβ‰₯ 85%
Safety0 violations max
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