BugViper maps your entire repository into a knowledge graph, then runs parallel AI agents to detect bugs and audit security on every pull request — before your users find them.
// BugViper detected 2 issues in auth.py ❌ [BUG] Line 47 — Missing bounds check if user_id > 0: # ← also fails for user_id = 0 return get_user(user_id) ⚠ [SECURITY] Line 89 — SQL injection risk query = f"SELECT * FROM users WHERE id = {id}" # ← use parameterised queries
From AST parsing to graph traversal to LLM reasoning — BugViper works through your code the way a senior engineer would.
Identifies logic errors, edge cases, null pointer risks, and anti-patterns before they reach production.
Scans for OWASP Top 10 vulnerabilities, injection risks, authentication flaws, and insecure patterns.
Maps every function, class, and import relationship in a Neo4j graph for deep structural understanding.
Python, TypeScript, Go, Rust, Java, C++, Ruby, Swift, and 9 more — all parsed with Tree-sitter ASTs.
GitHub App webhooks trigger automatic reviews the moment a PR is opened or @bugviper is mentioned.
Only re-analyses changed files on push. Your graph stays current without full re-ingestion overhead.
Install the GitHub App and authorize BugViper. Private repos, organizations, and monorepos are all supported.
BugViper parses your codebase with Tree-sitter and writes every relationship into a Neo4j knowledge graph.
Open a PR or mention @bugviper in any comment. Bug-hunter and security-auditor agents run in parallel.
Connect your first repository and get a full AI review in under 30 seconds. No credit card required.
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