# AI Coding Assistant for Engineering Teams | Codebasechat URL: https://codebasechat.com/lp/ai-coding-assistant Type: landing Locale: en Published: 2026-09-16 Updated: 2026-09-16 --- > The AI coding assistant that answers questions about your actual repo: the file, the line, and why, across every service you connect. *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. ## 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 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 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. **It indexes the codebase** — Parses the dependency graph, not just file text, so it can answer questions that span multiple files and services. 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. **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 *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 ## Pricing ### Free — $0 - 1 repo indexed - 50 questions per month - IDE extension for VS Code and JetBrains - Community support ### Pro — $24/mo per seat - Unlimited repos, multi-repo reasoning - Unlimited questions - Auto-generated architecture docs - PR context for reviewers - Slack integration - Priority support ### Team — Custom - 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? 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. *Call to action: Start free* ## FAQ ### 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.