Keypup Engineering Intelligence Platform

Key Features

• Autonomous AI Agent

  Creates multi-insight dashboards and provides analysis of bottlenecks using plain English prompts.

• DORA Metrics Tracking

  Supports monitoring of Deployment Frequency, Lead Time, Change Failure Rate, and Mean Time to Recovery (MTTR).

• SPACE Framework Burnout Detection

  Designed to help identify potential developer burnout and collaboration issues.

• SDLC Integrations

  Connects to GitHub, GitLab, Bitbucket, Azure DevOps, and Jira to aggregate development metadata.

• Custom Metrics Builder

  Allows users to define their own logic and formulas for lead time and other engineering KPIs.

• Reporting API

  Provides a GraphQL API to programmatically access metrics for use in external tools or custom portals.

Use Cases

• SDLC Dashboard Generation

  Using natural language prompts to build dashboards for monitoring release trends or cycle times.

• Bottleneck Diagnosis

  Analyzing the development lifecycle to identify where work may stall, such as in PR reviews or QA cycles.

• Team Benchmarking

  Comparing performance habits across different teams to identify and scale efficient workflows.

• Engineering Data Normalization

  Linking metadata from Git repositories and Jira projects into a unified view.

Integrations

• GitHub
• GitLab
• Bitbucket
• Azure DevOps
• Jira
• CSV export

FAQ

How does Keypup pricing work?

Pricing is based on 'units,' which are the number of repositories or projects connected to the platform. It does not charge per user.

Does Keypup access my source code?

No, Keypup only accesses metadata such as pull requests, issues, and milestones; it does not fetch or store actual source code files.

Is there a free trial available?

Keypup offers a 14-day free trial that does not require a credit card to start.