Stop grepping through thousands of files. Ask questions in English, get answers with code references. AST-aware semantic search that actually understands your codebase.
Free and open source. Business and Enterprise plans available.
No more grep, no more guessing at class names. Ask "How does authentication work?" and get answers with code references and line numbers.
Map request flows, trace dependencies, understand how services connect. See the system architecture emerge from the code itself.
New team members get productive in days, not weeks. No waiting for knowledge transfer or tribal knowledge gatekeepers.
Know what you're breaking before you break it. Understand dependencies, impacts, and gotchas before touching a line of code.
The answers are there. The problem is finding them before the deadline, the incident, or the meeting with your VP.
Only 2-3 people actually understand how each system works. They're in back-to-back meetings. You're blocked on a question that would take them 30 seconds to answer if they had the time. You spend the day reading code you don't understand instead of shipping the feature you were hired to build.
The docs say the auth service uses JWT. You read 4 wiki pages and a Confluence doc. You implement against the spec. It doesn't work. The actual implementation switched to session cookies 6 months ago. Nobody updated the docs. You wasted 3 hours on a problem that didn't exist.
You grep for "payment" and get 487 results across 40 files. You try the IDE's "find usages" — it finds the interface, not the implementation. You ask ChatGPT — it hallucinates a solution that looks right but uses APIs that don't exist in your codebase. You're back to reading code line by line like it's 2005.
Real questions from teams understanding new codebases. Architecture discovery, feature investigation, and impact analysis.
Search code by meaning, not just keywords. Understands functions, classes, imports, and call graphs — not just text matches.
Traditional search tools match strings. Probe understands code structure. It parses your codebase into an Abstract Syntax Tree, recognizes language constructs, and searches semantically. When you ask "where is authentication implemented," it finds the actual auth logic — not every file that mentions the word "auth" in a comment.
Query across your entire codebase, not just one repository. Understand how systems connect, what depends on what.
Real systems aren't single repos. Your frontend calls a backend API that talks to 3 microservices that share a common library. When you need to understand how a feature works, you need to see the whole picture — not just the one repository you happen to have open.
Probe maps dependencies across repositories. It understands which services call which APIs, which libraries are imported where, and how data flows through the system. Ask about a feature and get answers that span the entire architecture.
Ask questions in natural language, get answers with code references, file paths, and line numbers.
You shouldn't need to know the exact class name, function signature, or file location to find what you're looking for. You should be able to ask "how does billing work" and get a coherent explanation grounded in the actual code, with references you can click through.
Probe takes your question, searches the relevant code, understands the context, and gives you an answer with direct links to the source. It's like pair programming with someone who has read and memorized the entire codebase.
Pre-built workflows you can deploy immediately. Customize per team, version like code, improve over time.
New to the project? Start here. Understand the architecture, find the entry points, learn the patterns. Get productive without waiting for knowledge transfer sessions or tribal knowledge gatekeepers.
Before you touch a line of code, understand what you're breaking. Map dependencies, find consumers, identify side effects. Make changes confidently with full knowledge of downstream impacts.
How does this feature actually work? Trace request flows, map service dependencies, understand data transformations. Go from "I need to fix checkout" to "Here's exactly how checkout works" in minutes.
Tribal knowledge shouldn't live only in people's heads. Capture architectural decisions, document gotchas, record why things work the way they do. Make the codebase self-documenting.
Runs entirely on your infrastructure. Your code never leaves your environment. Full data sovereignty and compliance with SOC 2, HIPAA, and enterprise security requirements.
Use your preferred model — Claude, GPT, open-source, or self-hosted. No vendor lock-in. Switch providers without changing workflows or losing context history.
OpenTelemetry instrumentation captures every query, every search, every answer. Complete traceability for compliance, debugging, and understanding how the system is being used.
The core engine is open source and auditable. Security teams can inspect exactly how code is being analyzed and processed. No proprietary black boxes.
Start with the open-source core to explore a single codebase. Scale to enterprise when you need multi-repo intelligence and team workflows.
Free forever
The core code intelligence engine. Perfect for individual engineers or teams exploring a single repository.
Contact for pricing
Everything in Open Source, plus multi-repo architecture mapping, team workflows, and integrations with your existing tools.
Start with the open source version on your own machine. No account required, no data sent anywhere.
Pick one of these quickstart options and try Probe on a real codebase before your next meeting.
Get semantic code search in Claude Code, Cursor, or any MCP-compatible tool. Install with one command, works with any LLM API.
Create a Slack bot that answers questions about your codebase. Your team can ask questions in Slack and get answers grounded in actual code — no context switching.
Install the Probe CLI and start asking questions about any local repository. Works offline, no external dependencies.
Once you've validated the core technology, scale to enterprise for multi-repo intelligence, dependency mapping, and team workflows.
We work with your team to map which repositories contain what, how services connect, and which teams own which components.
Connect Probe to your GitHub org, Jira project, Slack workspace. Set up intelligent routing so queries go to the right repos.
Enable pre-built workflows for common scenarios: onboarding, impact analysis, architecture discovery. Customize per team.
Track time-to-productivity for new team members, reduction in Slack questions to senior engineers, and improvements in change confidence.
Want to discuss how Probe could work for your team?
Schedule a ConversationCopilot and ChatGPT work with whatever code is currently visible in your editor. They don't understand your codebase's architecture, patterns, or the relationships between components across multiple repositories.
Probe maps your entire codebase — across all repos, with full understanding of dependencies and call graphs. It's the difference between asking someone who's reading the file in front of them versus someone who's read and understood the entire system.
Yes, and this is exactly where it's most valuable. Legacy systems are where context is hardest to find — original developers are gone, documentation is outdated, patterns are inconsistent. Probe builds understanding from the code itself, regardless of documentation quality.
Probe has AST-aware parsing for 20+ languages including Go, Python, JavaScript, TypeScript, Java, Rust, C++, Ruby, PHP, and more. For languages without native AST support, it falls back to intelligent text search that's still more accurate than grep.
For a single repository with the open source version: 2 minutes to install, instant to start asking questions. For enterprise multi-repo setup: typically 1-2 weeks including architecture mapping, integration setup, and team onboarding. Most teams start seeing value immediately.
Try the open source version on your own machine, or talk to us about how enterprise could work for your team. We'll show you how it works on a real codebase — yours.