GHAGGA Code Review
Version updated for https://github.com/JNZader/ghagga to version v2.3.0.
- This action is used across all versions by 0 repositories.
Action Type
This is a Node action using Node version 20.
Go to the GitHub Marketplace to find the latest changes.
Action Summary
GHAGGA is an AI-powered code review tool designed to automate and enhance the process of reviewing pull requests. It combines static analysis tools (Semgrep, Trivy, CPD) with large language models (LLMs) and a project memory system to identify issues, suggest improvements, and provide structured feedback. By leveraging multi-agent workflows, intelligent comment generation, and secure API integrations, it streamlines the review process and helps developers maintain code quality and consistency across projects.
Release notes
🚀 v2.3.0 — Production Hardening & Enterprise Readiness
66 commits with 62 improvements across 4 audit rounds, AI SDK v5 migration, Docker digest pinning, and CI optimization.
Highlights
- 4 audit rounds completed (R1–R4): 62 total improvements covering security, performance, resilience, DX, and observability
- AI SDK v4 → v5 migration with Zod v3 → v4
- Docker images SHA256-pinned for supply chain security
- CI path filtering — docs-only changes skip expensive jobs (~10s vs ~15min)
- ~2,778 tests across 8 packages
Audit R4 — Production Readiness (16 improvements)
Critical
- ⏱️ HTTP timeouts on all 13
fetch()calls (10s/15s/5s) — prevents resource exhaustion - ✅ Env validation at startup — fail-fast with clear error if required vars missing
- 🔗 FK cascade delete on all remaining constraints — no orphaned data on uninstall
High
- 🔍 Correlation IDs (
reviewId) from webhook → Inngest → PR comment for end-to-end tracing - 🆔 Error IDs (
errorId) in all 500 responses — support can grep logs instantly - 🧹 Token cache periodic cleanup every 5 minutes with
.unref() - 📄 GitHub API pagination for PRs with >100 files/commits (up to 1000 files)
Medium
- 📖 CONTRIBUTING.md — complete onboarding guide (prerequisites, setup, workflow, conventions)
- 📋
.env.example— REQUIRED/OPTIONAL labels, format descriptions, generation commands - 🧬 Idempotent migrations — all SQL migrations guarded with IF NOT EXISTS/IF EXISTS
- 🏥 Dockerfile HEALTHCHECK — Docker can verify container health
- 🧪 Zod negative tests + circuit breaker assertion gap filled
Low
- 📊 Structured review metrics in Pino logs (duration, provider, model, findings, tokens)
- 📦 API response envelope standardized — all endpoints use
{ data: ... }
Other Changes
- AI SDK v4 → v5:
usage.promptTokens→inputTokens,completionTokens→outputTokens - Zod v3 → v4: Zero code changes needed (fully backward compatible)
- Docker digest pinning:
node:22-slimandpostgres:16-alpinepinned to SHA256 - CI optimization:
dorny/paths-filterskips all jobs on docs-only pushes - Removed dead dependency:
@octokit/webhooks(never imported) - Dependabot: 8 PRs merged (Vite 7, Recharts 3, Commander 14, etc.)
Test Suite
| Package | Tests |
|---|---|
ghagga-core | 1,328 |
@ghagga/server | 523 |
@ghagga/dashboard | 342 |
ghagga (CLI) | 272 |
@ghagga/action | 195 |
ghagga-db | 118 |
@ghagga/types | 24 |
| Total | ~2,778 |
Full Changelog: https://github.com/JNZader/ghagga/compare/v2.2.0...v2.3.0