---
title: "Proficiency"
canonical: "https://support.appfire.com/space/FD/1801977924/Proficiency"
format: markdown
---
> Macro (aura-html)

The Proficiency report provides insight to your team’s proficiency in a specific coding language. In this report, view code commit efficiency trends for the most prevalent software languages used in your code repo.

## What can you do with the Proficiency report?

If you're a team leader:

1. Track how much work is occurring through the lines of code and the number of commits in each software language over time
2. Track monthly commit efficiency for each language.

### Detectable languages

Detectable languages for the Proficiency report include:

- ASP.NET
- Assembly
- Batch
- C
- C#
- C++
- CSS
- Delphi
- Elixir
- Erlang
- Go
- Groovy
- HTML
- Java
- JavaScript
- JSON
- Julia
- Jupyter
- Kotlin
- Lua
- Objective-C
- Pascal
- Perl
- PHP
- PLSQL
- Powershell
- Puppet
- Python
- R
- Ruby
- Rust
- SASS
- Scala
- Scheme
- Shell
- SOQL
- SQL
- Swift
- Terraform
- TypeScript
- XML
- YAML

### How do I view my team’s efficiency?

Use the Proficiency chart to see how your team’s efficiency in a specific language has changed over time. 

![Proficiency Efficiency per commit graph, with the x-axis displaying months and the y-axis displaying efficiency per commit percentages. Languages are displayed using different color and size bubbles.](media://14b78da1-c019-4e91-804c-fbe06076d5df)

Efficiency is the inverse of <u>[rework](https://appfire.atlassian.net/wiki/spaces/FD/pages/1802207621)</u>. The efficiency per commit is the average efficiency per commit for a specific language over a period of time. Efficiency per commit is measured as a percentage over time. 

The six languages with the most lines of code over the year are captured in the efficiency bubble chart at the top.

View the trends, highlights, and additional information of a specific language by clicking a single bubble in the Proficiency chart. 

Additionally, filter the report by teams and date range using the filters at the top of the page.

### Get a summary of your team’s stats over the past year

Lines of code captures this team’s overall annual percentages of new work, legacy refactor, help others, and rework across all languages. This serves as an anchoring point to compare with the specific languages’ metrics.

![Proficiency coding metric work type percentage and line of code breakdowns.](media://dc2bb9f0-5ce0-409d-8fd0-0b7f61dc9245)

### Get an overview of your team’s commits

The **Overview** captures all the languages your team has committed to within the selected date range and displays associated metric information. Click a column name to sort the information.

**Recent efficiency vs. industry baseline** shows your team’s efficiency as the average of the last 3 months within the selected date range. This is compared to the industry baseline of 81%. This benchmark corresponds to the 50th percentile of Flow's <u>[percentile benchmarks](https://appfire.atlassian.net/wiki/spaces/FD/pages/1802600618)</u>.

![Recent efficiency vs industry baseline hover state describing the baseline.](media://f9819ef2-eb72-466a-a5d4-25449fda6d98)