Detect scalability, security, and reliability issues before they cause outages. AI-powered analysis across 8 quality dimensions.
Free account. No credit card required.api-service is production ready. Strong async patterns, proper connection pooling, and comprehensive error handling detected across all endpoints.
Insights you won't find in traditional static analysis tools
Know your limits before you hit them. Get RPS ceiling, P95 latency, and max concurrent user estimates.
Prioritized fix roadmap with effort estimates. Know exactly what to fix and how long it will take.
Accept risks, mark fixes, or snooze findings with documented reasons. Decisions persist across runs.
Learn more →Compare current analysis with previous runs. See trends with visual indicators.
Not just security. We analyze Scalability, Reliability, Performance, Observability, Testability, Architecture & Maintainability.
GitHub Action and CLI tool for automated production readiness checks on every PR.
Learn more →Beyond pattern matching — context-aware analysis that understands your code’s intent, catches hidden bugs, and suggests production-ready fixes.
User-supplied user_id is interpolated directly into SQL query string without parameterization, enabling arbitrary SQL execution.
db.execute("SELECT * FROM users WHERE id = :id", {"id": user_id})
Loading items inside a loop triggers a separate query per order. With 1,000 orders this fires 1,001 queries.
Order.query.options(joinedload(Order.items)).filter_by(...)
Synchronous requests.post() blocks the event loop inside an async function, starving other coroutines.
await httpx.AsyncClient().post(WEBHOOK_URL, json=payload)
Combines static analysis rules with LLM reasoning to catch issues that pattern matchers miss—like business logic flaws and architectural anti-patterns.
Understands your framework, ORM, and async runtime. Findings reference your actual code paths, not generic warnings.
Every finding includes a concrete, copy-pasteable fix tailored to your codebase—not just a description of the problem.
From code to production confidence in minutes
Drop your codebase ZIP, paste a GitHub URL, or enter code directly
AI scans your code across 8 quality dimensions in seconds
Get prioritized findings with specific recommendations and code fixes
Comprehensive NFR analysis that catches what code review misses
N+1 queries, unbounded fetches, missing pagination, connection pool issues
Hardcoded secrets, SQL injection, missing authentication, XSS vulnerabilities
Missing circuit breakers, no retry logic, unhandled exceptions, cascade failures
Blocking calls, inefficient algorithms, memory leaks, slow database queries
Missing logging, no metrics, absent tracing, poor error messages
God classes, circular dependencies, tight coupling, poor separation
Untestable patterns, hidden dependencies, static coupling, no interfaces
Complexity hotspots, code smells, technical debt, documentation gaps
See how teams ship with confidence
ProdSensor caught an N+1 query that would have brought down our checkout service on Black Friday. The fix took 30 minutes. The outage would have cost us six figures.
We integrated ProdSensor into our CI pipeline. Now every PR gets a production readiness score. It's changed how our team thinks about code quality.
The AI insights are incredible. It doesn't just find issues - it explains exactly how they'll fail in production and gives you the fix. Like having a senior SRE review every commit.
Find out if your code is production-ready in minutes
Start Free Analysis Free account. No credit card required.