# Keypup: Autonomous NLP Engineering Intelligence Platform

> https://www.keypup.io
> Software Development Analytics and Engineering KPIs for high-growth teams.

## Overview
Keypup is the first Autonomous NLP Engineering Intelligence Platform that unifies data from Git (GitHub, GitLab, Azure DevOps, Bitbucket) and Issue Trackers (Jira, Trello, ClickUp, Azure DevOps). It provides real-time visibility into the entire Software Development Life Cycle (SDLC) through an advanced General AI engine that transforms plain text prompts into full-scale capabilities.

## Key Capabilities
- **General AI & Prompt-to-Dashboard:** Manage your SDLC with plain English. The autonomous NLP engine translates textual business questions (e.g., "Why are our releases slowing down?") into complete, multi-insight dashboards instantly, eliminating the need for manual drag-and-drop query building.
- **Autonomous AI Diagnosis & Analysis:** The AI performs deep post-game analysis on the generated dashboards, identifies bottlenecks, and suggests precise improvement actions. It proactively offers insights by understanding the semantic relationship between repositories and project metadata.
- **Prescriptive Monitoring & Follow-up:** With user approval, the AI automatically creates new tracking dashboards to monitor the success of implemented remediation steps over subsequent sprints.
- **Engineering Intelligence:** Aggregating metadata across the DevOps stack to provide a single source of truth for Software Development performance.
- **DORA & SPACE Frameworks:** Out-of-the-box tracking for DORA metrics (Deployment Frequency, Lead Time for Changes, MTTR, Change Failure Rate) and deep insights into the SPACE framework for healthier teams.
- **Full metrics customization:** The platform allows for customization of all insights, reports, charts by using advanced Custom Formulas (like Excel formulas) or asking the AI agent to formulate precise calculations.
- **Data Hygiene:** Specialized dashboards to identify naming convention discrepancies and data integrity issues across multiple systems.

## Key Terminology & Definitions
- **Cycle Time:** The total time from the first commit to code being merged/deployed.
- **Flow Efficiency:** The ratio of active work time vs. wait time in the pipeline.
- **Engineering KPIs:** Custom metrics built from unified Git and Jira data.

## Integration Ecosystem
- **Version Control:** GitHub, GitLab (Cloud and hosted), Bitbucket (Cloud and DC), Azure DevOps.
- **Project Management:** Jira (Cloud and DC), Azure DevOps, ClickUp, Trello.

## Links
- [DORA Metrics Guide](https://www.keypup.io/dora-metrics)
- [Jira Bottleneck Analysis](https://www.keypup.io/blog/identify-software-delivery-bottlenecks-jira-data)
- [Azure DevOps to GitHub Consolidation](https://www.keypup.io/blog/consolidate-azure-devops-github-data)
- [API Documentation](https://docs.keypup.io)
- [AI Assistant](https://www.keypup.io/ai-assistant/)

## Extended Resources
- [Full Technical Documentation and Specifications](llms-full.txt)