Integrations

Metrics available
in Plandek

Plandek works by mining data from the toolsets across the end-to-end software delivery process, to provide intelligent and actionable insight.

Jira Software

Workflow Management

Plandek integrates with Jira in real-time, which means that whenever there are updates to issues in Jira the data is sent to Plandek in near real-time. The data we receive is then available in Plandek for a variety of analytics and metrics relating to your Epics, User Stories, Bugs and Sprints.

Jira Software

Workflow Management

Plandek integrates with Jira in real-time, which means that whenever there are updates to issues in Jira the data is sent to Plandek in near real-time. The data we receive is then available in Plandek for a variety of analytics and metrics relating to your Epics, User Stories, Bugs and Sprints.

Azure DevOps

CI/CD, Code Repositories, Workflow Management

Plandek integrates with Azure DevOps to enable ticket data, code repository and build pipeline data to be sent to Plandek. The data we receive is then available in Plandek for a variety of analytics and metrics relating to your Epics, User Stories, Bugs, Sprints, Pull Requests, Commits and Build Pipelines.

Azure DevOps

CI/CD, Code Repositories, Workflow Management

Plandek integrates with Azure DevOps to enable ticket data, code repository and build pipeline data to be sent to Plandek. The data we receive is then available in Plandek for a variety of analytics and metrics relating to your Epics, User Stories, Bugs, Sprints, Pull Requests, Commits and Build Pipelines.

GitHub

CI/CD, Code Repositories

Plandek integrates with GitHub and GitHub Actions to enable code repository and build pipeline data to be sent to Plandek. The data we receive is then available in Plandek for a variety of analytics and metrics relating to your Pull Requests, Commits and Build Pipelines.

GitHub

CI/CD, Code Repositories

Plandek integrates with GitHub and GitHub Actions to enable code repository and build pipeline data to be sent to Plandek. The data we receive is then available in Plandek for a variety of analytics and metrics relating to your Pull Requests, Commits and Build Pipelines.

CircleCI

CI/CD

Plandek integrates with CircleCI to enable build pipeline data to be sent to Plandek. The data we receive is then available in Plandek for a variety of analytics and metrics relating to your Build Pipelines.

CircleCI

CI/CD

Plandek integrates with CircleCI to enable build pipeline data to be sent to Plandek. The data we receive is then available in Plandek for a variety of analytics and metrics relating to your Build Pipelines.

BitBucket

CI/CD, Code Repositories

Plandek integrates with BitBucket to enable code repository and build pipeline data to be sent to Plandek. The data we receive is then available in Plandek for a variety of analytics and metrics relating to your Pull Requests, Commits and Build Pipelines.

BitBucket

CI/CD, Code Repositories

Plandek integrates with BitBucket to enable code repository and build pipeline data to be sent to Plandek. The data we receive is then available in Plandek for a variety of analytics and metrics relating to your Pull Requests, Commits and Build Pipelines.

BitBucket

CI/CD, Code Repositories

Plandek integrates with BitBucket to enable code repository and build pipeline data to be sent to Plandek. The data we receive is then available in Plandek for a variety of analytics and metrics relating to your Pull Requests, Commits and Build Pipelines.

GitLab

CI/CD, Code Repositories

Plandek integrates with GitLab to enable code repository and build pipeline data to be sent to Plandek. The data we receive is then available in Plandek for a variety of analytics and metrics relating to your Pull Requests, Commits and Build Pipelines.

GitLab

CI/CD, Code Repositories

Plandek integrates with GitLab to enable code repository and build pipeline data to be sent to Plandek. The data we receive is then available in Plandek for a variety of analytics and metrics relating to your Pull Requests, Commits and Build Pipelines.

GitLab

CI/CD, Code Repositories

Plandek integrates with GitLab to enable code repository and build pipeline data to be sent to Plandek. The data we receive is then available in Plandek for a variety of analytics and metrics relating to your Pull Requests, Commits and Build Pipelines.

Jenkins

CI/CD

Plandek integrates with Jenkins to enable build pipeline data to be sent to Plandek. The data we receive is then available in Plandek for a variety of analytics and metrics relating to your Build Pipelines.

Jenkins

CI/CD

Plandek integrates with Jenkins to enable build pipeline data to be sent to Plandek. The data we receive is then available in Plandek for a variety of analytics and metrics relating to your Build Pipelines.

PagerDuty

Monitoring

Plandek integrates with PagerDuty using webhooks, which means that whenever an incident is created in PagerDuty it’ll be sent to Plandek in near real-time. The data we receive is then available in Plandek for a variety of analytics and metrics relating to your Incident Data.

PagerDuty

Monitoring

Plandek integrates with PagerDuty using webhooks, which means that whenever an incident is created in PagerDuty it’ll be sent to Plandek in near real-time. The data we receive is then available in Plandek for a variety of analytics and metrics relating to your Incident Data.

New Relic

Monitoring

Plandek integrates with New Relic using webhooks, which means that whenever an incident is created in New Relic it’ll be sent to Plandek in near real-time. The data we receive is then available in Plandek for a variety of analytics and metrics relating to your Incident Data.

New Relic

Monitoring

Plandek integrates with New Relic using webhooks, which means that whenever an incident is created in New Relic it’ll be sent to Plandek in near real-time. The data we receive is then available in Plandek for a variety of analytics and metrics relating to your Incident Data.

Cursor

AI Coding Assistant

Plandek integrates with Cursor to analyse AI-assisted engineering activity across your repositories. The data is then available in Plandek for metrics and insights relating to AI adoption, usage and engineering impact.

Cursor

AI Coding Assistant

Plandek integrates with Cursor to analyse AI-assisted engineering activity across your repositories. The data is then available in Plandek for metrics and insights relating to AI adoption, usage and engineering impact.

Windsurf

AI Coding Assistant

Plandek integrates with Windsurf to analyse AI-assisted engineering activity across your repositories. The data is then available in Plandek for metrics and insights relating to AI adoption, usage and engineering impact.

Windsurf

AI Coding Assistant

Plandek integrates with Windsurf to analyse AI-assisted engineering activity across your repositories. The data is then available in Plandek for metrics and insights relating to AI adoption, usage and engineering impact.

Claude Code

AI Coding Assistant

Plandek integrates with Claude Code to analyse AI-assisted engineering activity across your repositories. The data is then available in Plandek for metrics and insights relating to AI adoption, usage and engineering impact.

Claude Code

AI Coding Assistant

Plandek integrates with Claude Code to analyse AI-assisted engineering activity across your repositories. The data is then available in Plandek for metrics and insights relating to AI adoption, usage and engineering impact.

GitHub Copilot

AI Coding Assistant

Plandek integrates with GitHub Copilot to analyse AI-assisted engineering activity across your repositories. The data is then available in Plandek for metrics and insights relating to AI adoption, usage and engineering impact.

GitHub Copilot

AI Coding Assistant

Plandek integrates with GitHub Copilot to analyse AI-assisted engineering activity across your repositories. The data is then available in Plandek for metrics and insights relating to AI adoption, usage and engineering impact.

Devin

AI Software Engineer

Plandek integrates with Devin to provide visibility into autonomous AI engineering activity across your development workflows. The data is then available in Plandek for analytics and metrics relating to AI-generated work, delivery impact, and workflow performance.

Devin

AI Software Engineer

Plandek integrates with Devin to provide visibility into autonomous AI engineering activity across your development workflows. The data is then available in Plandek for analytics and metrics relating to AI-generated work, delivery impact, and workflow performance.

Plandek

Deployments

Plandek provides an API for you to integrate with to send details regarding your production deployments. The data we receive is then available in Plandek for a variety of analytics and metrics relating to your Deployments.

Plandek

Deployments

Plandek provides an API for you to integrate with to send details regarding your production deployments. The data we receive is then available in Plandek for a variety of analytics and metrics relating to your Deployments.

Plandek

Custom Event Time Series

Plandek provides an API for you to integrate with to send custom event time series too which you want to analyse alongside Plandek metrics. The data we receive is then available in Plandek to display alongside all of your metrics to enable deeper insights into your delivery data.

Plandek

Custom Event Time Series

Plandek provides an API for you to integrate with to send custom event time series too which you want to analyse alongside Plandek metrics. The data we receive is then available in Plandek to display alongside all of your metrics to enable deeper insights into your delivery data.

Plandek

AI Contribution Detector

Plandek automatically detects AI-authored and AI-assisted work across your repositories by analysing pull request activity, commit patterns, and workflow signals. This provides visibility into AI usage across your engineering teams - including tools that may not yet be directly integrated.

Plandek

AI Contribution Detector

Plandek automatically detects AI-authored and AI-assisted work across your repositories by analysing pull request activity, commit patterns, and workflow signals. This provides visibility into AI usage across your engineering teams - including tools that may not yet be directly integrated.

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