Code/Data Intelligence Scanner
One engine. 6+ languages. Full structural understanding of every function, class, variable, and call relationship in your codebase. A custom C parser — 4,042 lines, zero dependencies — that reads code the way an architect reads blueprints.
AI coding assistants generate plausible-looking code that breaks in production because they cannot see your architecture. Enovari provides the context layer — full dependency graphs, call chains, and structural awareness — so your AI tools stop guessing and start understanding.
Capabilities
A scanning engine built from first principles. No plugins required. No language-specific toolchains. One parser that understands structure.
Python, JavaScript, TypeScript, C, HTML, CSS — and growing. A single engine that parses structure across languages without switching tools or configuring plugins.
Maps every function, class, variable, import, and call relationship into a navigable graph. See how your code actually connects — not how you think it connects.
4,042 lines of hand-tuned C with zero external dependencies. Not a regex hack. Not an AST wrapper. A purpose-built structural parser that understands code at the element level.
Identifies the functions and modules where complexity accumulates. Cyclomatic complexity, nesting depth, fan-in/fan-out — the metrics that predict where bugs will appear next.
Dead code. Security patterns. Unused imports. Unreachable branches. Cross-file resolution that catches problems spanning multiple modules — not just single-file lint rules.
Ask natural language questions about any codebase. "What calls this function?" "Where is this variable modified?" "Show me the dependency chain from A to B." Instant, accurate answers backed by structural analysis.
See your codebase as a living map. Module boundaries, call hierarchies, dependency flows — rendered so you can see the forest and the trees simultaneously.
Imports, re-exports, aliased references — resolved across your entire project. The scanner follows code paths the way a developer would, but across every file simultaneously.
Trace any function's callers and callees through the full graph. Understand impact before you change a line. Know exactly what breaks if you touch that utility function 82 modules depend on.
Landscape
Different tools solve different problems. Here is where the Code/Data Intelligence Scanner sits.
| Tool | Approach | vs. Enovari |
|---|---|---|
| Sourcegraph | Code search and navigation. Excellent at finding text across repos. | AI assistant (Cody) — focused on code completion, not architecture analysis |
| SonarQube | Rule-based quality gates. Good at catching known patterns. | Complementary — rules + graph = complete picture. SonarQube does not build dependency graphs |
| CodeScene | Behavioral code analysis via git history. Great for organizational insights. | Historical focus — Enovari analyzes live structure, not commit patterns |
| SciTools Understand | Static analysis with dependency graphing. Closest competitor. | Enovari adds AI-powered Q&A, persistent memory integration, and a custom parsing engine with zero dependencies |
Who It's For
Onboard new developers in hours instead of weeks. Point them at the scanner output and they see the full architecture instantly — every module boundary, every call chain, every complexity hotspot.
Feed your AI coding tools real structural context. Stop hallucinated function signatures and phantom imports. The Code/Data Intelligence Scanner is the context layer that makes AI coding actually work.
Understand a massive codebase before you touch it. Map dependencies, find dead code, identify the modules that matter. Make informed decisions about what to rewrite and what to keep.
Cross-file problem detection catches what single-file linters miss. Trace data flows through your architecture. Find the security patterns that hide in the seams between modules.
Pricing
Full code intelligence for individual developers.
Code intelligence across your entire team.
For organizations with advanced requirements.
Your codebase has a structure. The Code/Data Intelligence Scanner reveals it. Point it at your repo and see what you have been missing.
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