AI-nativeengineering workspace

Waibee Code helps engineering teams write, refactor, review, test, and document code faster across CLI and agent-based workflows, while keeping AI usage governed inside the company environment

How it works

From promptto production-ready code

Describe the task

Write your request in plain language via CLI or ACP — no special syntax required

Analyze the codebase

The agent scans your codebase to understand architecture, dependencies, and coding patterns

Implement the solution

The agent writes, refactors, tests, or reviews code based on your request

Create the pull request

The final output is a reviewed and tested diff or pull request ready to merge

Core tools

Everything an engineeringteam needs

Web Workspace

One command from the CLI opens a visual workspace in your browser. Explore the codebase, review diffs and guide agents in one place

CLI

Terminal interface. Run AI tasks from the command line — refactoring, tests, documentation

SWE Agents

Autonomous agents for engineering tasks. They analyze the codebase and execute multi-step tasks

ACP

Agent Communication Protocol. Agents interact with each other — one analyzes, another refactors, a third tests

Not another AI coding tool

A governed development workspacefor engineering teams

Write production-ready code from natural language prompts

  • Generate boilerplate, utilities, and feature logic
  • Follow existing codebase patterns and style conventions
  • Use the right model for each generation task
  • Available via CLI and agent-based workflows

Improve existing code without breaking product logic

  • Simplify complex functions and duplicated logic
  • Restructure modules for better readability
  • Apply consistent naming and style conventions
  • Keep changes aligned with codebase context

Create tests faster and improve coverage

  • Generate unit tests and integration test drafts
  • Add edge-case coverage for existing logic
  • Create mocks, fixtures, and test data
  • Match the testing framework already used in the project

Catch issues before they reach production

  • Identify potential bugs and regressions
  • Flag missing tests or weak coverage
  • Suggest cleaner implementation patterns
  • Summarize changes for faster reviewer understanding

Modernize legacy codebases with AI support

  • Explain unfamiliar legacy modules
  • Convert outdated patterns into modern implementations
  • Break large migration tasks into smaller steps
  • Generate documentation for inherited codebases

Integrations

Connected to the toolsyou already use

  • Slack
  • Microsoft 365
  • Jira
  • Confluence
  • Notion
  • HubSpot
  • Monday
  • Google Analytics
  • GitHub
  • Figma
  • Canva
  • Miro

Ready to scale with AI?

Explore the platform or get access to discover how Waibee helps teams adopt AI at scale