VBL Differentiator

Deep Review Suite

4 specialized AI agents that find bugs other tools miss. Silent failures, type safety gaps, attack vectors, and performance issues — caught before production.

vbl deep-reviewruns all 4 agents in parallel

Why standard code review isn't enough

Single-pass reviews miss issues. We found that running Codex after our standard review still caught bugs. So we built 4 specialized agents, each focused on a specific failure mode, running in parallel.

4 Specialized Agents

Silent Failure Hunter

vbl silent-failures

Finds code that fails silently - the bugs that corrupt data without crashing.

What it finds:

Empty catch blocks that swallow errors
Promises without rejection handling
Callbacks ignoring error parameters
Try/catch returning defaults silently
Missing global error handlers

catch (e) { return null } // Error completely hidden

Type Safety Analyzer

vbl type-safety

Detects type system bypasses that let bugs slip through at compile time.

What it finds:

any type abuse and implicit any
Type assertions hiding issues (as User)
Non-null assertions without checks (!)
Weak generic constraints
External data without validation

const data = await res.json() // Untyped external data

Adversarial Reviewer

vbl adversarial

Thinks like an attacker - finds exploits, edge cases, and failure modes.

What it finds:

SQL/NoSQL injection vectors
Authentication bypass opportunities
Race conditions and TOCTOU bugs
Resource exhaustion attacks
Missing input validation

What happens with 10M requests? Unicode edge cases?

Performance Reviewer

vbl perf

Catches performance issues before they break at scale.

What it finds:

N+1 query patterns
Memory leaks (event listeners, closures)
O(n²) when O(n) possible
Missing pagination on large datasets
Expensive operations in hot paths

for (const id of ids) { await db.find(id) } // N+1

What Deep Review Catches

Issue Type	Traditional Linters	Deep Review
Empty catch blocks	Sometimes	Always
Type assertion abuse	Never	Always
Silent Promise rejections	Rarely	Always
N+1 query patterns	Never	Always
Race conditions	Never	Analyzed
Attack vector analysis	Never	Always

How to Use

Run All Agents

$ vbl deep-review

Runs all 4 agents in parallel on changed files

Run Individual Agent

$ vbl silent-failures
$ vbl type-safety
$ vbl adversarial
$ vbl perf

Pro tip: Use --scope full for comprehensive codebase review, or --depth deep for maximum thoroughness.

FAQ

How is this different from ESLint or SonarQube?

Traditional linters find syntax issues and simple patterns. Deep Review uses AI to understand code context, trace error propagation, analyze attack surfaces, and find semantic bugs that pattern matching cannot catch.

How does it compare to Codex or other AI reviews?

We run 4 specialized passes, each with a focused prompt designed for specific bug categories. Single-pass reviews miss issues that our multi-pass approach catches consistently.

What languages are supported?

TypeScript/JavaScript (including React/Next.js), Python, Go, and Rust. The agents are most thorough with TypeScript due to rich type information.

Can I run just one agent?

Yes! Run individual agents (vbl silent-failures, vbl type-safety, etc.) or run all 4 in parallel with vbl deep-review.

Is this included in VBL Factory?

Yes! Deep Review runs automatically at quality gates in the VBL 5-stage pipeline. You can also run it standalone on any codebase.

Find bugs before they find you

Run Deep Review on your codebase today. Part of the VBL CLI.

Explore the Pipeline Get VBL Factory