For engineering teams

AI for Software Development That Knows Your Codebase

Ask questions in plain English and get answers sourced from your own code, not generic tutorials or outdated docs.

Software engineer working at a standing desk with an AI codebase chat panel open on screen
What it does

Six things grep and Ctrl+F can't do

Ask in plain English

Type the question you would normally ask a teammate on Slack. Get an answer sourced from your actual code.

Multi-repo search

Search across every service in the org at once, not one repo at a time with grep.

Architecture explainers

See how a request actually flows through your services, generated from the code, not a stale wiki page.

Cited answers

Every answer links back to the file and line it came from, so you can verify it in seconds.

Faster onboarding

New engineers ask the tool the questions they would otherwise interrupt a teammate to ask.

Private by default

Your code stays in your environment. Nothing is used to train a shared model.

How it works

From connected repo to cited answer

No new workflow to learn. Ask the question you already have, in the words you already use.

  1. 1

    Connect your repos

    Point codebasechat at your GitHub, GitLab, or Bitbucket org. Indexing runs in the background and does not block anyone's work.

  2. 2

    Ask a real question

    Type what you would ask a teammate on Slack: where is auth handled, or what calls this function, in plain sentences.

  3. 3

    Get a cited answer

    Read a direct answer with file and line references attached, not a wall of matching search results you still have to read.

  4. 4

    Ship or onboard faster

    Spend the time you saved writing code or ramping up a new hire, instead of losing an afternoon to code archaeology.

Use case

Onboarding a new engineer without interrupting the team

New hires ask the same handful of questions in their first two weeks: where is auth, how do these two services talk to each other, why does this config exist. Each interruption pulls a teammate out of focus. codebasechat answers those questions directly from the code, so the new engineer gets unblocked without waiting for someone to context-switch.

  • Answers sourced from the actual repo, not a stale onboarding doc
  • New hires self-serve instead of pinging the team channel
  • Senior engineers reclaim the hours they used to spend explaining
Senior and junior engineer reviewing code together on a laptop during onboarding
Use case

Understanding a service nobody remembers writing

Every team has that one service: no docs, original author long gone, and the only way in is git blame and grep. codebasechat reads the code itself and answers questions about it directly, so you can trace how it works before you touch it, not after you have broken something in production.

  • Trace a request path across files without opening a dozen tabs
  • Ask why a function exists before you refactor it
  • Works on legacy code with zero documentation
Software engineer focused on a laptop screen investigating code late in the evening

codebasechat vs. general-purpose AI coding tools

Copilot and Cursor are built to write new code. codebasechat is built to explain the code you already have.

CapabilitycodebasechatGitHub CopilotCursor
Answers questions about your whole codebaseYesLimited to open filesLimited to open files
Multi-repo, cross-service searchYesNoNo
Cites file and line for every answerYesNoPartial, inside editor only
Primary jobExplain existing codeWrite new codeWrite new code
Usable without opening an IDEYesNoNo

Common questions

Does codebasechat train a model on our code?
No. Your code is indexed only to answer your questions and is never used to train a shared model. Disconnect a repo at any time and its index is removed with it.
Does it work across multiple repos?
Yes. Connect every repo in your org and ask questions that span services, not just the one repo you happen to have open right now.
How is this different from GitHub Copilot?
Copilot is built to write code inside your editor, one file at a time. codebasechat is built to answer questions about code that already exists, across your whole org, cited by file and line.
Does it replace code review?
No. It gives reviewers context on what a change actually touches across the codebase, but the review decision itself stays with a human.
What if the codebase has no documentation?
That is the common case, not the exception. codebasechat reads the code directly, so undocumented and legacy services are still fully searchable.
How long does setup take?
Connecting a repo takes a few minutes. Indexing time depends on repo size, but most codebases are fully searchable within the hour.
Can a junior engineer use it without supervision?
Yes. Every answer includes the exact file and line it came from, so a junior engineer can verify it instead of taking it on faith like a chatbot answer.
Does it work with a monorepo?
Yes. Monorepos are indexed the same way as multi-repo setups, with results scoped to the service or package you are actually asking about.

Stop losing hours to code archaeology

Connect your repos and ask the first question free. No credit card required.