Codecov: More than just code coverage.

Codecov doesn’t just measure code coverage—it helps you improve code quality at every step. It uses AI to generate unit tests and review pull requests, so you can merge better code, faster. Flaky and failing tests are flagged automatically, giving your team the insights to keep CI running smoothly.

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Prevent issues in production | Spend less time debugging | Improve developer workflow

Ship better code without slowing down

  • Get your PR to 100% test coverage with AI that writes unit tests for you
  • Get immediate, detailed PR feedback and code suggestions without adding to your teammates’ workload
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Ditch flaky test frustration

  • See exactly which lines failed which tests in a pull request comment so you know which tests to re-run or skip
  • Immediately re-run flaky tests using the copy-and-pasteable test name and stack trace
  • Track test suite performance over time and prioritize which tests to change first
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Keep untested code out of production

  • Code coverage pull request comments allow you to quickly analyze your PR's coverage and risk without leaving your workflow.
  • Focus your team's attention on the most relevant insights with customizable coverage analysis.
  • Codecov works with your tech stack. See code coverage for any language, CI tool, test suite, and code host.
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Keep JavaScript Bundles in Check

  • Track JavaScript bundle size and changes right in the pull request
  • Monitor size over time and drill into asset and module-level data to hunt down oversized assets quickly
  • Enforce size or percentage increase limits with Status Checks to prevent problematic merges
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Code Quality for Any Tech Stack

Codecov seamlessly integrates with the majority of programming languages, all CI tools and code hosts, including the following:

code coverage in your stack

Languages

Python JavaScript Ruby C Go PHP Scala Apex Bash C# C++ Clojure Kotlin Dart Rust F# Elixir D Erlang Fortran Groovy Powershell Haskell Julia Lua Objective-C Perl R Swift Typescript Vala Xcode Xtend

CI Platforms

GitHub Actions GitLab CI Travis CI CircleCI Bitrise Jenkins Bamboo AppVeyor Azure Pipelines Bitbucket Pipelines Buildkite Codefresh Drone Shippable Wercker Buildbot

Code Hosts

GitHub GitLab Bitbucket GitHub Enterprise GitLab CE / EE Bitbucket Server
“40% of our engineering capacity was going to fixing things that were broken. Codecov has been a critical tool in reducing that trend to around 10%.”

Ian Arko, Head of Engineering, Axle Health

Ian Arko, Head of Engineering, Axle Health
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