AI Powered Code Analysis
An enterprise-grade platform that combines OpenAI, Anthropic, Gemini, and Grok with deep static analysis to automatically review every PR, detect security vulnerabilities, enforce 837 architecture rules, and generate one-click AI fixes — in under 30 seconds.
Connects directly to GitHub, GitLab, Azure DevOps, and Bitbucket. No change to developer workflows required.
From commit to confidence — automatically
Every step of the code quality lifecycle is orchestrated by AI — connect once and every future commit, PR, and merge is analyzed, scored, fixed, and monitored without manual intervention.
Connect
Link any repository in seconds — GitHub, GitLab, Azure DevOps, or Bitbucket — or upload files directly. GitHub token authentication unlocks 5,000 API requests per hour versus 60 unauthenticated.
Analyze
AI-powered multi-layer analysis runs automatically across every file: AST parsing for structural understanding, security scanning across SAST, secrets, dependencies, and containers, plus architecture rule enforcement.
Prioritize
Quality gates evaluate every PR against configured thresholds instantly. AI risk scoring ranks issues by severity, exploitability, and business impact so teams focus remediation effort where it counts most.
Fix
One click generates a context-aware AI fix patch for any detected issue. The AI uses full file context — not a generic template — and presents a side-by-side diff with a plain-English explanation before you apply.
Monitor
Track engineering performance over time with DORA metrics, per-developer quality trends, and AI-generated executive reports. AI identifies inflection points, correlates quality scores with failure rates, and recommends process improvements.
Four AI engines. One unified platform.
Each cluster is purpose-built for a distinct dimension of software quality — and they work together seamlessly on every scan.
Multi-LLM AI Engine
- OpenAI for code review and fix generation
- Claude Sonnet/Opus for security and architecture
- Gemini Pro for complexity analysis and summarization
- Claude Sonnet/Opus / Fable for lightweight summarization tasks
- Intelligent task-to-model routing with fallback
- Token budgeting, cost tracking, and model versioning
Security Intelligence
- SAST with OWASP Top 10 coverage
- Hardcoded secret and credential detection (99%)
- Dependency CVE audit and license compliance
- Container image and IaC misconfiguration scanning
- AI Security Advisor with CVSS-aligned severity scoring
- Taint analysis: source-to-sink data flow tracking
Architecture & Code Quality
- 2700+ language-specific rules across 35+ languages and 8 rule categories
- 837 architecture rules: scalability, security, performance, layering, design patterns
- AI Rule Builder Chat Engine — describe a rule in plain English, AI generates it instantly
- Tree-sitter AST parsing for 35+ languages — structure-level, not regex
- Cyclomatic and cognitive complexity measurement with AI refactoring guidance
- Anchor-pair clone detection (Type 1, 2, 3) with AI extract-function suggestions
Engineering Analytics
- DORA metrics: deploy frequency, lead time, MTTR, CFR
- Per-developer quality scores and PR metrics
- AI-generated executive security and compliance reports
- Technical debt trend charts and priority matrix
- Team performance benchmarking and skill-gap detection
- Scheduled report delivery in PDF, JSON, and CSV
Complete AI code intelligence — every layer
AI Code Review
OpenAI and Claude analyze every function for logic, performance, security, style, and design pattern violations in under 30 seconds.
AI Security Scanning
Multi-layer scanning: SAST, secret detection, dependency CVE audit, container analysis, and infrastructure misconfiguration review.
Architecture Analysis
837 database-driven rules enforce scalability, security, performance, layering, design patterns, and naming on every commit.
Taint Analysis Engine
AST-powered data-flow tracking from HTTP inputs and file reads to SQL executors, shell calls, and HTML renderers with 94% true-positive rate.
AI Fix Suggestions
Context-aware code fix patches generated from full file content — with side-by-side diff and plain-English explanation. One click to apply.
Code Complexity Analysis
Cyclomatic and cognitive complexity measured per function and file. AI refactoring suggestions when thresholds are exceeded.
Code Duplication Detection
Anchor-pair extension algorithm detects Type 1, 2, and 3 clones. AI generates extract-function suggestions and updated call sites.
Technical Debt Management
Continuous AI debt quantification across code smells, architecture violations, security debt, test debt, and dependency debt.
Quality Gates
PASS / FAIL / WARN / INCONCLUSIVE gates evaluated against configurable thresholds on every PR — never a false pass on missing data.
PR Intelligence
Every PR receives AI risk scoring, size labeling, inline AI comments, and an executive summary before human review begins.
DORA Metrics & Analytics
Deployment frequency, lead time, MTTR, and change failure rate benchmarked against Elite/High/Medium/Low industry tiers.
AI Vision Analysis
GPT-4 Vision and Claude Vision analyze architecture diagrams, UI screenshots, database ER schemas, and infrastructure diagrams.
Enterprise-grade AI at every touchpoint
Why traditional code review breaks down
Every gap traditional tooling leaves open is a direct cost to engineering velocity, security posture, and software quality.
Manual code review bottlenecks slow release cycles. Senior engineers spend hours reviewing PRs that could be resolved in seconds — delaying deployment and draining engineering capacity.
AI reviews every PR in under 30 seconds with the expertise of a senior engineer — inline comments, quality scores, security flags, and an executive summary delivered before the first human reviewer opens the diff.
Pattern-matching security scanners miss complex multi-hop injection chains. Regex-based tools cannot track tainted data flowing through function calls, variable assignments, and module boundaries.
AST-powered taint analysis models the full data flow graph from every HTTP input, file read, and external API response down to SQL executors, shell calls, and HTML renderers — catching vulnerabilities no regex can see.
Technical debt accumulates invisibly until it causes production incidents. Without continuous measurement, teams have no objective signal for when debt has become a release risk.
AI continuously quantifies debt across five categories — code smells, architecture violations, security debt, test debt, and dependency debt — and ranks each item by business impact and remediation effort.
Architecture drift goes undetected until refactoring costs are prohibitive. Coding standards encoded in documents are never enforced at the point of commit.
837 database-driven architecture rules covering scalability, security, performance, layering, design patterns, dependency management, and naming are enforced on every commit and PR automatically.
Start analyzing your code with AI today
Connect your first repository in under 5 minutes. AI reviews every file, flags every vulnerability, and generates actionable insights — automatically.