15 audit categories, zero bullshit. One prompt.
SupremeCode is a SaaS audit framework built to find what breaks in production. It doesn't pad reports, invent findings, or give vague advice. Every finding has file:line evidence, blast radius, and a patch-ready fix.
Run on MegaLens with multiple engines checking each other.
MegaLens + SupremeCode
The audit framework meets the engine.
How they work together
You say:
"Run a SupremeCode audit on this codebase"
MegaLens routes to specialists:
Security Auditor, Code Quality Reviewer, Architecture Analyst. Three specialists picked for the task, all reviewing independently across all 15 categories.
Judge delivers verdict:
A judge (Claude Opus, GPT-5.4, or Gemini depending on the task) checks gaps, adds what's missing, and delivers the final verdict. Each finding needs file:line evidence or gets rejected.
You get:
One structured audit with severity scores, blast radius, patch-ready fixes, and every disagreement between engines preserved.
Why not just one AI?
One AI runs the same audit framework with the same training biases. When specialists from xAI, DeepSeek, and Mistral independently flag the same auth issue, that's signal. When only one catches a race condition everyone else missed, that's a blind spot detected.
Works in Web UI and MCP
Run SupremeCode from the MegaLens web interface with a paste of your code, or via MCP server directly in Claude Code / Codex where it reads your actual repo structure and git history.
Evidence-first, not padding
If a category is clean, SupremeCode marks it PASS with a 1-sentence justification. No invented findings. No filler. The report only contains what actually needs fixing.
The audit process
Phase 0 first. Then 15 categories.
System Map (Mandatory)
Before touching any category, SupremeCode builds a complete system map, 12 dimensions including stack, entry points, auth flow, datastores, external services, multi-tenancy model, deployment, and uncertainties. Then it produces a Threat & Failure Model to triage which categories are HIGH RISK for this specific repo.
What you get per finding
Location
file/path.js:L42-L58
Blast Radius
Single endpoint → System-wide
Problem
Plain English, what breaks and for whom
Fix Pattern
Golden example or patch-ready boilerplate
Effort
S (<1 day) / M (1-3 days) / L (1 week+)
Owner
Backend / Frontend / DevOps / Security
Confidence
High / Medium / Low, inferences labeled
Release Blocker
Yes only for data loss, auth bypass, money
The 15 categories
Everything that can break. Audited.
High-risk categories get maximum depth. Clean categories get PASS with justification. No padding.
Architecture & Design Patterns
Monolith vs service boundaries, separation of concerns, circular dependencies, god classes, dead code, design pattern misuse, framework lock-in risk.
Database & Data Layer
Schema design flaws, N+1 queries, missing transactions, ORM misuse, migration safety, zero-downtime DDL, connection pooling, PII encryption at rest.
API Design & Contracts
Input validation on every endpoint, HTTP status codes, CORS, response data leakage, pagination, idempotency keys, OpenAPI drift, request size limits.
Authentication & Authorization
JWT flaws, missing auth middleware, horizontal/vertical privilege escalation, password storage, CSRF, tenant-scoped authorization, refresh token rotation, MFA.
Error Handling & Resilience
Swallowed exceptions, generic error messages, retry with backoff, circuit breakers, timeout configs, graceful shutdown, poison queue handling.
Security Vulnerabilities
XSS (reflected, stored, DOM), SQL/NoSQL injection, SSRF, path traversal, command injection, IDOR, secrets in code, dependency CVEs, rate-limit abuse.
Performance & Scalability
Async operations, caching + stampede protection, memory leaks, CDN, compression, bundle size, database EXPLAIN analysis, horizontal scaling readiness.
Testing & Quality
Critical paths with zero tests, assertions missing, no integration tests, edge case coverage, flaky tests, load testing, contract tests, migration tests.
DevOps & Deployment
CI/CD pipeline, environment separation, health checks, Docker misconfigs, rollback strategy, IaC, secrets management, canary/blue-green, restore drills.
Code Quality & Maintainability
Linter/formatter, deep nesting, magic numbers, copy-paste duplication, static analysis gates, TODO/FIXME debt, cognitive complexity thresholds.
Frontend-Specific
State management chaos, loading/error states, accessibility violations, responsive design, memory leaks, SSR hydration, auth token storage, Core Web Vitals.
Business Logic & Data Integrity
Race conditions (double payments), missing idempotency, audit trails, currency handling (float vs integer), timezone issues, state machine correctness.
Observability & Operability
Structured logging, correlation IDs, distributed tracing, p95/p99 latency, alert quality, SLO/error budgets, operational runbooks, degradation visibility.
Privacy, Compliance & Data Governance
PII classification, data minimization, GDPR/CCPA right-to-delete, consent handling, encryption boundaries, tenant isolation verification, logs scrubbing.
Async, Integrations & Supply Chain
Job idempotency, dead-letter queues, poison messages, webhook signature verification, dependency pinning, lockfile integrity, CI secrets exposure, build reproducibility.
Execution rules
What makes this different from “audit my code.”
No forced findings
If a category is clean, it's clean. No invented issues.
Evidence required
No claim without repo evidence or a clearly labeled inference.
One home per finding
Each finding belongs to one category. Cross-reference allowed, duplication forbidden.
Patch-ready fixes
Never "improve validation." Exact code, remediation pattern, rollout order, and regression risk.
Strict release blockers
Release Blocker = Yes only for auth bypass, data loss, secret exposure, broken payments.
Depth over breadth
Top 3-5 highest-signal findings per category. No padding to look thorough.
15 categories. Multiple engines. One audit.
SupremeCode is available on all MegaLens tiers, Free, Subscription, and Pay as you go.