Show HN: AI-powered code review tool
ReviewCerberus is an AI-powered code review tool that analyzes git branch differences and produces structured review reports. It offers features such as GitHub Action integration, multi‑provider model support, and experimental verification and SAST modes. The tool can be run via Docker or command‑line commands and outputs results in markdown or JSON format.
- ▪The tool supports model providers including AWS Bedrock, Anthropic API, Ollama, and Moonshot, and can be invoked as a GitHub Action for automated pull‑request reviews.
- ▪ReviewCerberus generates a summary, severity‑rated issue table, and detailed explanations with suggested fixes for logic, security, performance, and code quality concerns.
- ▪An experimental verification mode uses a chain‑of‑verification process to reduce false positives, while an optional SAST pre‑scan leverages an OpenGrep (Semgrep fork) scanner.
- ▪Users can customize target branches, output locations, review guidelines, and enable verification or SAST flags via simple command‑line options.
Hacker News (AI / LLM) files mainly under ai. We currently carry 3,266 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
inspect →
Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | GitHub |
| Canonical URL | https://github.com/Kirill89/reviewcerberus |
| Publication time | Sat, 04 Jul 2026 18:07:22 +0000 |
| Retrieval time | 2026-07-04T19:00:18.286Z |
| Last seen | 2026-07-04T19:00:18.286Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | 78YpXzB8p5UZ |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
ReviewCerberus AI-powered code review tool that analyzes git branch differences and generates comprehensive review reports with structured output. Key Features GitHub Action: Automated PR reviews with inline comments and summary Comprehensive Reviews: Detailed analysis of logic, security, performance, and code quality Structured Output: Issues organized by severity with summary table Multi-Provider: AWS Bedrock, Anthropic API, Ollama, or Moonshot Smart Analysis: Context provided upfront with prompt caching Git Integration: Works with any repository, supports commit hashes Verification Mode: Experimental Chain-of-Verification to reduce false positives Quick Start Run with Docker (recommended): docker run --rm -it -v $(pwd):/repo \ -e MODEL_PROVIDER=anthropic \ -e…
Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.