Voice AI for your codebase

Talk to your code.
Ship faster.

Connect your GitHub repos, discuss features with Voice AI that actually understands your code, and generate tasks for Cursor, Claude, and Copilot.

Voice AI
Connected to 3 repos
Live
You
I need to add rate limiting to the API middleware. Can you help me understand the current implementation?
I see your middleware is in src/api/middleware/. You're using Express with a chain pattern. I'd recommend adding rate limiting before auth...

The Complete Workflow

Document. Discuss. Deploy.

Code Summary connects your codebase to AI at every step—from understanding to planning to implementation.

Document

Auto-generated on every push

Connect your GitHub repos and get comprehensive documentation automatically. Architecture overviews, API references, and component docs—always in sync with your code.

  • Updates on every push
  • All languages supported
  • Agent-ready context files

Discuss

Voice AI that knows your code

Have real conversations about your codebase. Plan features, ask architecture questions, and brainstorm implementations—with AI that actually understands your code.

  • Context-aware responses
  • Multi-repo conversations
  • Saved transcripts

Deploy

AI tasks for coding agents

Turn conversations into structured implementation tasks. Generate prompts optimized for Cursor, Claude, Copilot, and other coding agents—with full codebase context.

  • One-click task generation
  • Works with any AI agent
  • Includes file references

How it works

From code to context to completion.

A complete workflow that keeps AI in sync with your codebase at every step.

01

Connect GitHub

Install the GitHub App and select your repositories. One-click setup.

02

Docs Generate

AI analyzes your code and generates comprehensive documentation on every push.

03

Plan with Voice

Discuss features and architecture with AI that knows your actual codebase.

04

Ship with Agents

Generate implementation tasks and hand them off to Cursor, Claude, or Copilot.

Voice AI

Talk through features before you build them.

Skip the blank page problem. Have a real conversation about what you want to build, and the AI will help you think through the implementation—because it actually knows your code.

  • Your docs = AI context — The AI reads your generated documentation, so it knows your file structure, APIs, and patterns.
  • Catch issues early — AI points out conflicts with existing code before you write a single line.
  • Cross-repo awareness — Discuss features that span your frontend, backend, and infrastructure in one conversation.
Voice AI
Connected
You
"I want to add Slack notifications when deployments finish"
AI
"I see you have a webhook handler in api/webhooks. You could add a new endpoint there. I also notice you're using the notification service in lib/notify.ts—want me to create a task that extends that?"
AI Task
Generated from voice conversation
Objective
Add Slack notification when deployment completes
Context
Existing webhook handler at api/webhooks/route.ts. Notification service available at lib/notify.ts.
Steps
  • 1.Add POST endpoint at /api/webhooks/deployment
  • 2.Extend notify.ts with Slack integration
  • 3.Add SLACK_WEBHOOK_URL to env config
Copy to:CursorClaudeCopilot

AI Tasks

Turn conversations into code.

After planning a feature with Voice AI, generate a structured task that your coding agent can execute. No more copy-pasting context or re-explaining your codebase.

  • One-click generation — Convert any voice conversation into an implementation-ready task with full context.
  • File references included — Tasks include specific file paths and existing patterns from your codebase.
  • Works with any agent — Optimized prompts for Cursor, Claude Code, GitHub Copilot, and others.

Features

Everything you need for AI-powered development.

Automatic Documentation

Documentation is generated on every push to your repository. Your docs stay in sync with your code automatically.

AI-Powered Analysis

Our AI analyzes your entire codebase to generate architecture overviews, API references, and component documentation.

Voice Conversations

Talk to AI about your codebase. Plan features, ask questions, and brainstorm—with context from your actual code.

AI Task Generation

Turn voice conversations into structured tasks for coding agents like Cursor, Claude, and Copilot.

All Languages Supported

JavaScript, TypeScript, Python, Go, Rust, Java, and more. Code Summary understands your stack.

Team Knowledge Sharing

Stop relying on tribal knowledge. Everyone on your team has access to the same comprehensive documentation.

Pricing

Simple, transparent pricing.

Start free and scale as you grow. No credit card required.

Free

Perfect for trying out CodeSummary on a personal project.

$0
  • Solo use only
  • Unlimited repositories
  • 10 credits / month
  • Documentation on every push
  • Standard AI model
  • Voice AI trial (2 min)
  • Agent-ready context files
Get started

Pro

For developers who need more power.

$29/month
  • Solo use only
  • Unlimited repositories
  • 250 credits / month
  • 750 bonus credits on signup
  • Premium AI model (Claude)
  • Voice AI (50 min / month)
  • AI task generation
  • Agent-ready context files
  • Priority email support
Get started

Teams

For organizations that collaborate.

$199/month
  • Unlimited team members
  • Unlimited repositories
  • 1,500 credits / month
  • 3,000 bonus credits on signup
  • Premium AI model (Claude)
  • Voice AI (300 min / month)
  • AI task generation
  • Postman manifest exports (coming soon)
  • Confluence integration (coming soon)
  • Priority support
Get started

FAQ

Frequently asked questions.

How does Code Summary access my code?

Code Summary is installed as a GitHub App. You choose which repositories to grant access to, and we only read your code to generate documentation. We never store your source code.

What programming languages are supported?

We support all major programming languages including JavaScript, TypeScript, Python, Go, Rust, Java, C#, Ruby, PHP, and more.

How often is documentation updated?

Documentation is regenerated on every push to your repository. This ensures your docs are always in sync with your code.

What is Voice AI and how does it work?

Voice AI lets you have spoken conversations about your codebase. The AI uses your generated documentation to understand your code, so you can discuss features, ask architecture questions, and generate implementation specs—all by voice.

How are credits used?

Documentation generation uses 1 credit per run. Voice AI uses 5 credits per minute (billed by the minute). Free tier includes 10 credits/month plus a 2-minute voice trial. Pro and Teams plans include more credits and dedicated voice minutes.

Can I use the docs with AI coding assistants?

Yes! Code Summary generates agent-ready context files that work with GitHub Copilot, Cursor, Claude, and other AI coding tools.

Ready to supercharge your AI workflow?

Connect your repos, start talking to your code, and ship features faster with AI-generated tasks.