Understand your product's codebase without reading code. Get answers in plain English. Write better specs, resolve support tickets faster, and ship with confidence.
Free and open source. Business and Enterprise plans available.
Ask questions about your product in plain English. Get accurate answers grounded in the actual codebase — no technical knowledge required.
Generate specs with constraints, dependencies, and edge cases automatically pulled from the codebase. Engineers can execute them immediately.
Investigate customer issues without waiting on engineering. Understand what changed, which components are affected, and what the fix should look like.
Documentation that stays synchronized with code. When features change, you know immediately and can update docs before customers notice.
But every question lands you in a Slack thread waiting for engineers who are buried in their own work. Days pass. Specs get delayed. Customers wait for answers. All because the knowledge is locked in code.
You need to write a spec. But first you need context: How does auth work? What are the edge cases? Which services would this affect? Engineers are swamped. You wait three days for a 5-minute Slack call. Your sprint planning slips. The feature ships a week late because you couldn't get answers.
Customer reports a bug. You need to know: Is this actually a bug? Which component is broken? What changed recently? You file a ticket with engineering. They assign it. Someone investigates. Three days later: "We need more info." The customer is frustrated. The ticket bounces back and forth for a week.
You write docs based on what you think the feature does. Engineering ships something slightly different. Customers follow your docs. Things break. Engineers fix the docs in code comments that you never see. Six months later, your documentation is 30% accurate and nobody trusts it.
Real questions from product managers, support engineers, QA, and technical writers. Self-serve answers without engineering bottlenecks.
Ask any question about your product and get accurate, contextual answers in plain English — no coding required.
Probe reads code semantically and translates it into plain English explanations. You get accurate answers grounded in the actual implementation, not guesses or outdated documentation. Perfect for product managers writing specs, support engineers investigating issues, and QA building test plans.
Turn product ideas into engineering-ready specs with constraints, edge cases, and test scenarios automatically identified.
Great specs require understanding what already exists, what constraints apply, and what could go wrong. That knowledge lives in code, and extracting it usually requires bothering engineers for days.
Probe analyzes the codebase to generate complete specs. It identifies existing validation rules, finds similar features to reference, spots potential edge cases, and suggests test scenarios. Engineers can execute your specs immediately instead of sending them back with twenty clarifying questions.
Investigate customer issues without waiting on engineering. Understand what changed, what's affected, and what to do about it.
Customer reports an issue. You need to know: Is it a bug? Is it a known issue? What changed recently? Which component is involved? This typically means filing an engineering ticket and waiting days for someone to investigate.
Probe investigates for you. It searches for recent code changes, checks for similar past issues, identifies affected components, and suggests workarounds. You can respond to customers faster, escalate to engineering with full context, or resolve issues yourself without engineering time.
Pre-built automation workflows that replace manual processes. Customize per team. Version like code. Improve over time.
Transform product requirements into engineering-ready specs with technical constraints, edge cases, dependencies, acceptance criteria, and test scenarios — all pulled automatically from your codebase.
When a customer reports an issue, automatically gather context: recent code changes, affected components, similar past tickets, and known workarounds. Respond faster or escalate with full context.
Generate comprehensive test plans from feature specs and code context. Identifies edge cases, integration points, regression risks, and acceptance criteria based on actual implementation.
After each release, compare code changes with documentation files. Automatically flag docs that are likely outdated and suggest specific updates based on what changed in the code.
No coding required. Ask questions in natural language and get answers you can actually understand. Built for product managers, support engineers, and QA teams.
Every answer includes references to source files and line numbers. Verify information yourself or share with engineering for validation. No black box magic.
On-premises deployment option keeps code within your infrastructure. Choose your LLM provider, including self-hosted models. Full control over data security.
Works with your existing tools: Jira, Confluence, Zendesk, Slack, GitHub. Workflow automation fits into how your team already works. No process overhaul required.
Start with the open-source core to evaluate the technology. Scale to enterprise when you need workflow automation and integrations.
Free forever
The core code intelligence engine. Perfect for evaluating the technology on a single project or for individual users exploring a codebase.
Contact for pricing
Everything in Open Source, plus multi-project architecture, workflow automation, and integrations with your existing tools.
Two-phase approach: validate the core technology with open source, then pilot enterprise features with your actual workflows.
Try Probe yourself on your codebase. Ask questions about features, investigate how things work, and see how accurate the answers are. No engineering help required.
Install Probe and point it at your repository. Ask questions about features, authentication, workflows, or anything you've always wondered about but never had time to dig into code for.
Give Probe a feature description and ask it to generate test scenarios. Compare what it produces to what you would write manually. See if it catches edge cases you missed.
Pick a customer issue you investigated before. Ask Probe to analyze it: What changed? Which components were involved? What similar issues existed? Compare to what you learned the hard way.
Once you've validated core capabilities, run a team pilot to test workflow automation and integrations with your existing tools.
Integrate Probe with your existing tools: GitHub, Jira, Confluence, Zendesk, Slack. Map your repositories and configure access permissions.
Set up automated workflows for your most time-consuming processes: ticket triage, spec generation, test planning, or doc monitoring.
Configure workflows to match your team's terminology, quality standards, and processes. Templates are starting points, not rigid requirements.
Track time waiting for developer answers, spec iteration cycles, support ticket resolution time, and documentation freshness. Compare to pre-pilot baselines.
Want to discuss how a pilot would work for your team?
Schedule a ConversationNo. Probe is designed for non-technical users. You ask questions in plain English and get answers in plain English. The system handles reading and understanding code — you just interact with the insights it provides.
ChatGPT has no access to your actual codebase and often hallucinates answers. Documentation goes stale the moment code changes. Probe reads your actual code in real-time, giving you accurate answers with references to specific files and line numbers. You can verify every answer.
No, but it will make those conversations much more productive. Instead of "how does auth work?", you'll ask "I see auth uses JWT tokens with 24-hour expiration — what happens when a token expires during an active session?" Engineers spend less time explaining basics and more time on strategic design discussions.
Every answer includes references to source code locations. You can verify information yourself or share with engineers for validation. The system is transparent about what it knows and where that knowledge comes from. When something is unclear or complex, it says so instead of guessing.
Let's talk about how Probe can help your team understand the codebase, write better specs, and resolve customer issues faster. We'll show you how it works on your actual product.