See what breaks before you ship.
CodeTrace turns your repository into an evidence graph, then helps you trace the real impact of a change across files, functions, and relationships.
How it works
From repository to reasoned action.
Every answer begins with structure we can inspect, not a guess from a language model.
Index the codebase
Clone a public GitHub repository and map its files, symbols, imports, and calls.
Ask an impact question
Describe the behavior or module you are changing and let the agent query the graph.
Follow the evidence
Review ranked findings, relationship paths, source locations, and a practical checklist.
See the system
A graph is the difference between a guess and a trace.
Explore the three layers behind every CodeTrace answer. Select a layer to see what is connected, what the agent can inspect, and why the final response is auditable.
The repository becomes navigable context
Files are only the surface. Relationships are the signal.
CodeTrace reads source files without running them, then records the relationships that matter during change: definitions, imports, calls, references, and source locations.
Relationships are retrieved from FalkorDB before the model explains them.
Unsupported findings are rejected or called out as uncertainty.
Ask where a broken or changed behavior could travel through the codebase.