Your team asks the same
codebase questions
_
Rubberdok indexes your repos, docs and wikis so your senior devs stop answering "where's the auth flow?" for the 47th time. The duck finally talks back — with citations.
No spam. One email when we launch. Early waitlist gets 50% off Team plan for 6 months.
The problem
New devs cost you two weeks of senior time. Every time.
A single onboarding can eat 40+ hours of senior engineer time across pair sessions, Slack questions, and "quick" PR reviews. Multiply by every new hire. Now multiply by every time a dev jumps to a new service.
"I spend 2 hours a day answering the same questions about our codebase. I'm supposed to be shipping features."
— Senior dev, 40-person team
"Our docs are either missing or 3 versions behind the code. By the time I find what I need, I could've just read the source."
— Mid-level dev, fintech startup
"Cursor is great for my file. But when I need to understand how three services talk to each other, I'm lost."
— Tech lead, B2B SaaS
How it's different
Cursor helps the individual. Rubberdok helps the team.
IDE tools answer "what does this function do?" Rubberdok answers "how does our team do auth, and why?" — with citations to actual code and internal docs.
Cursor / Copilot / Claude Code
In-editor AI assistants
- →Great for writing code
- →Per-developer license
- →Sees what's open in the IDE
- →No team context or history
Sourcegraph / Augment
Enterprise code intelligence
- →Deep codebase indexing
- →6-figure budgets
- →Weeks to set up
- →Overkill for most teams
rubberdok
Codebase Q&A built for teams, not individuals
- →Repos + docs + wikis indexed
- →29€/mo for the whole team
- →Setup in 5 minutes
- →Every answer cites the source
FAQ
The questions devs actually ask.
Why not just use Cursor or Claude Code?+
Use them. They're great. But they live inside your editor and answer questions about the file you have open. Rubberdok lives where your team collaborates (Slack, web) and answers questions about your entire system — including docs, wikis, and architectural decisions that aren't in the code.
Does my code leave my infrastructure?+
We send code chunks to LLM providers (OpenAI, Anthropic) for embeddings and Q&A. We never train on your code. Enterprise self-hosting is on the roadmap — open-core planned.
What languages / stacks does it support?+
At launch: TypeScript, JavaScript, Python, Go, Java, Ruby. Markdown docs, Confluence and Notion imports. More languages based on waitlist demand.
When does it launch?+
Building in public. Target: private beta in 6 weeks, public launch Q3 2026. Waitlist signups get early access and 50% off the Team plan for 6 months.
Will it be open source?+
Open-core is planned. The core RAG engine will be released publicly once stable. The SaaS version adds team management, analytics, and integrations on top.
Stop answering the same questions.
Start shipping.
Get early access. No spam, one email when we launch.
Built by an engineer who got tired of repeating himself.