The AI Coding Assistant Built for Your Codebase
Ask a question about your repo in plain English and get an answer with the file, the line, and the reasoning, not a guess about generic code.

The problem an autocomplete tool doesn't solve
What codebasechat actually does
Six things that matter once the codebase is bigger than one person's head.
Natural language code search
Ask where billing retries on failure and get the function, the file, and three lines of context. No grep, no guessing at file names.
Multi-repo reasoning
Point it at every repo your service touches. It follows a call across a monorepo split into a dozen packages or six separate repos.
Auto-generated architecture docs
Generates an up-to-date map of how a service is wired, refreshed on each push, not written once and left to go stale.
IDE-native chat
Runs inside VS Code and JetBrains. Ask a question without opening a browser tab or pinging a teammate on Slack.
Self-hosted or cloud
The index runs in your VPC or ours. Code never trains a shared model, and each workspace gets its own private index.
PR context for reviewers
Attaches a summary of what a pull request touches and why, so a reviewer unfamiliar with the service still catches the real issue.
How it works
From connected repo to answered question in under 15 minutes.
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1
Connect your repos
Point codebasechat at your Git provider. Read-only access, and code never leaves your infrastructure on the self-hosted plan.
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2
It indexes the codebase
Parses the dependency graph, not just file text, so it can answer questions that span multiple files and services.
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3
Ask in plain English
From the IDE, Slack, or the web app: why does this endpoint retry twice gets a real, sourced answer.
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4
Share the answer
Turn any answer into a doc snippet or a PR comment, so the next person who asks doesn't have to interrupt anyone.
Cut the first two weeks down to a few days
New engineers spend most of the first two weeks reading code, not writing it: figuring out where auth lives, why a service retries, which of four similar-looking modules is actually in production. Codebasechat answers those questions the moment they come up, with a link to the real file instead of an outdated wiki page.
- Answers point to the actual file and line, not a stale doc
- Works on day one, no manual write-up required first
- Junior engineers ask codebasechat before interrupting a senior engineer
Give reviewers context before they read the diff
A 40-file pull request from a service you don't own is where review quality drops. Codebasechat summarizes what the change actually touches and flags the parts of the codebase it depends on, so a reviewer knows where to look first instead of skimming and approving.
- Surfaces the call sites a change affects, even across repos
- Flags when a PR touches code with no recent owner
- Narrows where human review needs to happen, doesn't replace it
Pricing
Three tiers. No seat minimum on the free plan.
Free
For individuals trying it on one repo
- 1 repo indexed
- 50 questions per month
- IDE extension for VS Code and JetBrains
- Community support
Pro
For teams of 5 to 50
- Unlimited repos, multi-repo reasoning
- Unlimited questions
- Auto-generated architecture docs
- PR context for reviewers
- Slack integration
- Priority support
Team
For 50+ engineers or regulated environments
- Self-hosted or VPC deployment
- SSO and audit logs
- Dedicated onboarding
- SLA-backed support
Common questions
How is codebasechat different from GitHub Copilot or Cursor?
Does it work across multiple repositories?
Where does our code go?
How long does setup take?
Do junior engineers actually use it, or mostly senior engineers?
Can it replace code review?
What if we already have internal documentation?
Stop grepping. Start asking.
Connect one repo and ask your first question in under 15 minutes. Free plan, no credit card required.