Latta AI

Latta is an AI-powered debugging platform that helps developers record, replay, and automatically resolve bugs in web and mobile applications. It combines client-side and server-side session recording with AI-driven issue resolution to streamline the debugging workflow for development teams of all sizes.

Key Features

• Client-side recording captures visual user interactions including clicks, navigation, scrolling, text input, and page transitions, enabling full session replay of reported bugs. The replay includes an embedded browser that renders the application exactly as the user experienced it, including matching their browser version for diagnosing rendering issues caused by outdated browsers.
• Server-side recording collects application state, error logs, memory usage, request data, and other debugging context when errors occur. Developers can inspect server-side recordings side by side with client-side replays to trace issues from user action to root cause.
• AI Solves analyzes recorded bug data and autonomously generates fixes. When a fix is ready, developers receive a notification and can review, accept, or revert the changes directly from the platform. The AI uses connected repository data to produce context-aware fixes.
• VS Code extension guides developers through implementing recording scripts into their projects and provides a dedicated interface for managing AI conversations and reviewing fixes without leaving the editor.
• Task management system includes assignees, labels, custom approval rules, and solved rules to control workflow. Tasks can require multiple assignee approvals before being marked solved, and new recording sessions can automatically reopen solved tasks.

Supported Platforms

• Web: HTML, React, Svelte, and Vue.js applications with client-side recording support.
• Mobile: Kotlin for Android and Swift for iOS native mobile app recording.
• Server frameworks: ASP.NET Core, Django, Express, Laravel, NestJS, Ruby on Rails, Spring, and Symfony with server-side recording SDKs.
• Vanilla languages: C#, Java, PHP, and Python for custom server implementations.

Integrations

• Slack and Discord integration delivers task notifications to team channels and supports creating tasks directly via slash commands without leaving the chat platform.
• GitHub repository integration connects source code to Latta projects, enabling AI Solves to access repository context for generating accurate fixes.
• API keys provide programmatic access for custom integrations, including triggering project test runs and managing tasks.

Use Cases

• Development teams collect structured bug reports with complete session replays, eliminating the need for manual reproduction steps and significantly reducing debugging time.
• QA engineers review client-side interactions alongside server-side diagnostic data to quickly identify root causes of complex issues spanning frontend and backend.
• Teams delegate repetitive bug fixes to Latta AI, which autonomously analyzes recordings and produces pull request-ready changes for developer approval.
• Open source maintainers use task sharing to publicly share selected code and record sessions via secure links, enabling external contributors to collaborate on specific issues without full project access.
• Project tests (experimental) allow teams to define test collections, trigger runs programmatically, and integrate testing into their debugging workflow.