For engineering teams of 5 to 50

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.

Developer using an AI coding assistant chat panel next to a code editor at night

The problem an autocomplete tool doesn't solve

84%
of developers now use or plan to use AI tools in their work (Stack Overflow, 2025 Developer Survey)
51%
of professional developers use an AI coding tool every day (Stack Overflow, 2025 Developer Survey)
55%
faster task completion in a randomized controlled study of GitHub Copilot users (Microsoft Research, 2023)
What it does

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.

  1. 1

    Connect your repos

    Point codebasechat at your Git provider. Read-only access, and code never leaves your infrastructure on the self-hosted plan.

  2. 2

    It indexes the codebase

    Parses the dependency graph, not just file text, so it can answer questions that span multiple files and services.

  3. 3

    Ask in plain English

    From the IDE, Slack, or the web app: why does this endpoint retry twice gets a real, sourced answer.

  4. 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.

Onboarding

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
Senior and junior engineer looking at code together during onboarding
Code review

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
Two engineers reviewing a pull request diff together

Pricing

Three tiers. No seat minimum on the free plan.

Free

$0

For individuals trying it on one repo

  • 1 repo indexed
  • 50 questions per month
  • IDE extension for VS Code and JetBrains
  • Community support
Start free

Team

Custom

For 50+ engineers or regulated environments

  • Self-hosted or VPC deployment
  • SSO and audit logs
  • Dedicated onboarding
  • SLA-backed support
Talk to sales

Common questions

How is codebasechat different from GitHub Copilot or Cursor?
Copilot and Cursor are strongest at writing new code: inline completion while you type. Codebasechat is built to answer questions about code that already exists across your repos, like where something is implemented or what a pull request actually touches. Most teams run it alongside an autocomplete tool, not instead of one.
Does it work across multiple repositories?
Yes. Codebasechat indexes the dependency graph across every repo you connect, so a question about a call from one service into another gets answered even when the two live in separate repositories.
Where does our code go?
You choose. The cloud plan indexes your code in an isolated workspace that never trains a shared model. The self-hosted option runs the index inside your own VPC, so code never leaves your infrastructure.
How long does setup take?
Connecting a repo and getting the first indexed answer typically takes under 15 minutes. Full indexing of a large monorepo can keep running in the background while you already ask questions.
Do junior engineers actually use it, or mostly senior engineers?
In practice junior engineers ask it the most, since it answers the questions they would otherwise interrupt a teammate to ask. Senior engineers lean on it more for cross-repo tracing during incident review or RFC prep.
Can it replace code review?
No. It gives a reviewer context on what a change touches before they read the diff, which narrows where a human needs to look closely. The decision to approve still belongs to a person on the team.
What if we already have internal documentation?
Codebasechat works alongside it. Docs answer how something is supposed to work; codebasechat answers how it actually works right now, which matters exactly when the two have drifted apart.

Stop grepping. Start asking.

Connect one repo and ask your first question in under 15 minutes. Free plan, no credit card required.