Repobot.io | Automated Analytics For Engineering Team Leaders

Automated development analytics for engineering team leaders

Repobot uses data for good by tracking and monitoring the productivity and performance of our engineering teams. It provides operational insights in real-time, enabling increased target accuracy, smarter decisions and data-driven strategies.

Accelerate velocity and release products faster with visibility into your engineering workflow.

What is Repobot?

How it works

Through Repobot’s unique features, we are able to trace how many times an engineer is rewriting the same segment of code. If there are a number of rewrites, it usually means that the engineer doesn’t fully understand the problem or does not have the toolkit or ability to solve it - in which case, we can assist them to get to a solution quicker. Repobot also tracks how long it takes for a ticket that has been created to be released into production.

Our Goal

Our goal is always to reduce the dev time as much as possible by studying and understanding the development analytics.

Why Repobot?

Repobot removes bottlenecks in your team, optimise your processes, and works together with insights from your Github data.

What questions does Repobot help answer?

With all your data and systems synced on one dashboard, you're always ahead of the situation. Understand questions like:

Are we getting faster?
How well do we share knowledge?
What code is waiting for review?
How efficiently are we working?
Where does work get stuck?
What did we accomplish last month?

See our pricing options

Benefits of Repobot

DORA Metrics

The benefit of Repobot is that it allows you to understand if your software and software company is actually as good as they claim to be. This is done through the Four Keys Metrics:

Deployment Frequency—How often an organisation successfully releases to production
Lead Time for Changes—The amount of time it takes a commit to get into production
Change Failure Rate—The percentage of deployments causing a failure in production
Time to Restore Service—How long it takes an organisation to recover from a failure in production

At a top level, Deployment Frequency and Lead Time for Changes measure velocity, while Change Failure Rate and Time to Restore Service measure stability. By measuring these values, and continuously improving them, a team can achieve significantly better business outcomes.

Repobot allows for real-time reporting to understand these Key Metrics to enable you to make better, data-driven decisions.