Synapse detects bugs, security vulnerabilities, and performance issues in AI-generated code — instantly. The code AI writes looks right. Synapse knows when it isn't.
From critical SQL injections to subtle async race conditions — Synapse catches what linters, tests, and code review miss.
SQL injection, XSS, insecure deserialization, hardcoded secrets, and OWASP Top 10 — caught before production.
Race conditions, missing locks, unprotected shared state, and async/await misuse in Python, Go, JS.
Blocking I/O in async contexts, missing error handling, hardcoded configs, and broken design patterns.
Unnecessary allocations, missing caching, N+1 queries, and redundant network calls.
Every review ends with a 0–100 quality score and corrected code you can ship directly.
Paste any snippet and get an expert-level review in seconds. Load a real vulnerability from the samples.
Four steps from raw code to production-ready.
Call the REST API from VS Code, JetBrains, Neovim, or any editor. No plugin required.
import requests SYNAPSE = "https://your-app.vercel.app/api/audit" def audit_file(path: str): with open(path) as f: code = f.read() res = requests.post( SYNAPSE, json={"code": code, "language": "python"} ) print(res.json()["review"]) # Run from terminal audit_file("my_module.py")
Deploy this Next.js project to Vercel. Your /api/audit endpoint is live instantly.
npx vercel --prodSend your code and language. Get structured Markdown review back.
POST /api/audit → {"code": "...", "language": "python"}Create a VS Code task, Neovim command, or shell alias to audit the current file.
Ctrl+Shift+A → Audit BufferBlock merges when quality score drops below your threshold in CI.
score >= 70 → merge allowedStop deploying hidden bugs from AI-generated code. Synapse gives you the confidence to ship.