Hard to understand unfamiliar code
Jumping between files, grepping for functions, and tracing call chains eats hours every week.
Understand any codebase in minutes, not days.
Search, explore, and query your entire codebase and documentation like Google. No more digging through files or outdated docs.
Try a query
The problem
Why developers struggle with large codebases
Every team faces these challenges. Most just accept them as “part of the job.” They shouldn’t be.
Documentation is outdated or missing
The docs say one thing. The code does another. Nobody knows which one to trust.
Finding logic across files is slow
Where is the payment flow? Who calls this function? Simple questions, painful answers.
Onboarding takes too long
New developers spend weeks ramping up instead of shipping. Context lives in people's heads.
Definition
What is Tracely360?
Tracely360 is a code intelligence and codebase search platform that builds a graph of your services, dependencies, and flows.
It lets developers understand large codebases, speed up developer onboarding, and debug issues using natural-language queries instead of manual code spelunking.
Teams can start with the free open-source tracely360 Lite engine, then expand into the full Tracely360 platform for broader codebase search and collaboration.
Use cases
Built for how developers actually work with large codebases
Onboard developers faster
Give new team members an instant map of your codebase — services, dependencies, and how everything connects.
Example
“Show me all the API endpoints and which services they call” — answered in seconds, not hours of code spelunking.
Understand legacy systems instantly
Stop reverse-engineering undocumented code. Query the structure and trace logic across files with plain language.
Example
“How does the user authentication flow work?” — get a structured answer with linked files and line references.
Find anything across your repo in seconds
Search your entire codebase and documentation like Google. No more grep chains or guesswork.
Example
“Where is payment logic implemented?” — instantly see every file, function, and connection involved.
How it works
From codebase to answers in three steps with a code intelligence layer
01
Connect your codebase
Point Tracely360 at your repository or upload your files. Supports 25+ languages out of the box.
02
We process and structure your data
Tracely360 parses your code, maps relationships, and builds a searchable intelligence layer automatically.
03
Query and explore instantly
Ask questions in plain language. Get structured answers with file references, dependencies, and code context.
See the product in action
See it in action
Ask a codebase question. Get a structured answer.
No more grep. No more guesswork. Click a query below and watch it work.
Query
Example queries
Why Tracely360
The old way vs. the Tracely360 way
Traditional Approach
- Manual search through files and folders
- Scattered, outdated documentation
- Weeks of onboarding for new developers
- Context lost when people leave
- Grep chains and tribal knowledge
With Tracely360
- Instant natural language queries
- Structured, always-current knowledge
- Onboarding in days, not weeks
- Context lives in the system, not in heads
- One search to find anything
Product
Explore your codebase visually with a 3D code graph
Navigate relationships, drill into details, and understand structure at a glance.
3D Graph Explorer
Visually explore how your codebase connects — services, dependencies, and relationships in an interactive 3D view.
Node Browser
Drill into any file, function, or service. See metadata, relationships, and evidence — all in one place.
Stop reading code.
Start querying it.
Explore your codebase in seconds. Join developers who ship faster.
Tracely360 Lite
Want to try it locally first? Start with the free open-source engine.
tracely360 Lite is a local knowledge graph engine for AI coding assistants. It runs locally, supports 25+ languages, and helps teams reduce token usage while understanding code faster.
Offline by default
25+ languages
Deterministic extraction runs locally with zero LLM calls and zero API cost.
Assistant-ready
14 integrations
Works with Claude Code, Codex, Cursor, VS Code Copilot, and more.
Token efficiency
71.5x fewer tokens
Graph queries use ~1.7k tokens versus ~123k reading raw files.
FAQ
Frequently Asked Questions
Answers to the questions developers ask when evaluating codebase search and code intelligence tools.
How can I quickly understand a large legacy codebase?
Tracely360 builds a code intelligence layer over your repository so you can search architecture, dependencies, and flows in plain language. Instead of tracing logic manually across dozens of files, developers get structured answers with file references and relationships.
How does Tracely360 help with developer onboarding?
New developers can query the codebase for services, endpoints, dependencies, and ownership patterns instead of relying on tribal knowledge. That shortens ramp-up time and gives teams a faster path from first day to first useful change.
What is the difference between Tracely360 and simple code search or grep?
Grep finds text matches. Tracely360 builds a graph of services, functions, files, and relationships so developers can ask how the system works, not just where a string appears.
Does Tracely360 work with both monoliths and microservices?
Yes. Tracely360 is designed for large monoliths, service-oriented systems, and mixed environments where code and documentation live in different places. It helps teams see cross-service flows as well as local module structure.
Can Tracely360 run in my environment and what deployment options are available?
Teams can start with the Tracely360 Lite engine locally, then evaluate the full platform for broader codebase search and onboarding workflows. If you need deployment details, Tracely360 can be discussed around your environment, security, and access requirements.