What is Typo?
Typo is an engineering intelligence platform designed for AI-native teams, providing real-time visibility into the software development lifecycle (SDLC) to measure and optimize the impact of AI on developer productivity. It connects engineering signals from tools like GitHub, GitLab, and CI/CD pipelines into a single intelligent layer, enabling teams to track delivery speed, code quality, and developer experience (DevEx) with data-driven insights.
Key features include AI-powered analytics that measure how AI-generated code affects cycle time, review time, and overall delivery velocity, helping teams calculate the real ROI of AI adoption. Typo offers dashboards for DORA metrics, sprint predictability, work allocation, and PR cycle time, along with goal setting, benchmarks, and alerts to keep teams aligned. Its context-aware AI reviews leverage a living graph of your codebase to provide signal-first code reviews and auto-fixes, trained on your specific engineering patterns and rules. Additionally, Typo integrates with AI agents like Claude Code and Cursor via MCP, bringing PR history, code health, and delivery signals directly into your development environment.
Benefits include eliminating guesswork around AI's impact, reducing decision delays, and improving team health through clear, instant answers about code, deployments, and performance. Use cases range from measuring AI adoption across teams to identifying top performers and replicating best practices. Technical details: Typo supports real-time SDLC visibility, custom metrics programs, and seamless integration with existing developer tools. It is trusted by companies like Stackgen and Groundworks, with customers reporting a 70% reduction in review wait time. Leader in G2's Spring 2026 rankings, Typo empowers engineering leaders to make faster, data-driven decisions in the age of AI.
Use Cases
Key Features
AI powered analytics DORA metrics dashboards sprint predictability tracking PR cycle time analysis context aware code reviews auto fix suggestions goal setting and alerts engineering signal integrationWho is it for?
AI, native teams, engineering managers, DevOps engineers, software developers, platform teams, CTOs
