Automating Code Reviews to Boost Security, Quality and Velocity

Reviewing code is a crucial step before major releases, but doing it manually cannot keep pace with modern CI/CD pipelines. Automated code review tools take this grunt work off developer plates so they can focus on building.

This guide will explore the pros and cons of 6 top solutions:

  • Codacy – Accuracy and customizability
  • Codebeat – Speed and workflow integration
  • Deepsource – Unified dev, sec, ops
  • Snyk – App security focus
  • Codegrip – Easy cloud platform
  • Codiga – Real-time IDE integration

Let‘s dig in on how automating code reviews can transform security, quality, and development velocity.

Why Automate Code Reviews?

Before diving into specific tools, it‘s important to level-set on the core benefits of automated code reviews:

  1. Save substantial time otherwise spent on manual reviews
  2. Prevent defects and mistakes early through static analysis
  3. Enforce standards and best practices across large, distributed teams
  4. Improve stability and security by finding bugs and vulnerabilities
  5. Obtain objective, unbiased feedback not reliant on any one reviewer

Research shows code reviews catch 60% more defects yet they require significant effort.

This data underscores why automating finding common issues – freeing developers to focus on complex logic – is a game changer.

Now let‘s explore top solutions…


Codacy performs over 130,000 automated code reviews daily across 40+ languages with among the lowest false positive rates.

As an individual developer just getting started, you‘ll appreciate:

  • 130,000+ automated code reviews daily across 40+ languages
  • GitHub integration to monitor commits and pull requests
  • Customizable rulesets aligned to style guidelines like PEP8 or Lint
  • Code duplication and coverage reports to improve your tests
  • Slack notifications when critical issues are introduced

Their dashboards provide excellent visibility for improving the quality and security of your code over time.

Scaled customers praise Codacy‘s reliability, accuracy, and emphasis on reducing "noise" that distracts developers.

Consider Codacy if you value customizability, confidence in findings, and rich analytics.


Codebeat stands out for blazing fast static analysis averages under 30 seconds. The reports cleanly focus on actionable issues without false positives frustrating developers.

As a busy coder with little patience for noise and distractions, you‘ll love:

  • Analysis under 30 seconds to not slow commits
  • Clean, focused reports in web UI and Slack
  • Concise violation descriptions – no deciphering needed
  • Support for Xcode projects and self-hosted code
  • Specialization in Swift, Go, Elixir, and modern JavaScript

Integrating tightly into developer workflows makes Codebeat ideal if you value speed, precision, and staying in flow.


Deepsource offers a uniquely unified platform spanning static + dynamic analysis, test coverage, infrastructure-as-code, secrets detection, and more.

Its 500+ checks optimized to eliminate false positives help developers ship secure, stable code quickly.

As a mid-stage startup seeking to automate security and testing, you‘d gain a lot from:

  • Scanning infrastructure-as-code for secret leaks and bad practices
  • Tracking test coverage to achieve 80%+ covered code
  • Support for self-hosted installation aligned to your compliance needs
  • Static + dynamic analysis for complete quality assurance

Deepsource provides a comprehensive quality and security solution able to grow alongside your organization.


Snyk focuses intensely on securing both open source dependencies and custom code – a crucial capability for cloud-native development.

Its seamless integration into developer workflows empowers engineers to own security rather than throw issues "over the wall" to a separate team.

If you‘re building modern applications reliant on open source and containers, you would benefit from:

  • Identifying vulnerable libraries needing upgrade or remediation
  • Scanning infrastructure-as-code templates like Kubernetes YAML
  • Fuzz testing to uncover potential security issues
  • Fix PRs enabling 1-click remediation of problems
  • Continuous monitoring to surface new threats

Snyk has pioneered a developer-first approach to application security powering companies adopting cloud, open source, and DevOps.


Codegrip simplifies setting organization-wide code quality standards that accelerate release cycles without technical debt accumulation.

Its easy-to-use cloud platform offers value to developers through executives including:

  • Custom rulesets that enforce team standards
  • Configurable severity levels for violation triage
  • GitHub + Slack integration for seamless tracking
  • Code quality dashboard revealing trends

Codegrip prevents "quality fading" as projects evolve by embedding best practices and accountability upfront.


Codiga seamlessly integrates automated code analysis into existing workflows – enhancing IDEs like VS Code and PyCharm.

You‘d appreciate Codiga for:

  • Getting real-time static analysis feedback as you code
  • Inline security warnings and code quality notices
  • Suggested fixes to resolve issues immediately
  • Supporting CI/CD integration to catch issues pre-merge

By surfacing code reviews within tools you already use daily, Codiga drives adoption and makes development more secure.

Comparing Open Source vs Commercial

Beyond the above leading paid tools, open source options can offer a free automated code review foundation:

Category Open Source Tools Capabilities
Code Quality PMD, SpotBugs, Lint, Write Good Lint Standards enforcement, style guide checks
Vulnerabilities OWASP Dependency Check, retire.js Scan dependencies for CVEs
Code Analysis SonarQube, Coverity Test coverage, duplication detection

Open source tools provide good baseline security and quality but generally less focus on developer experience, customizability, and advanced analysis.

Integrating Automated Review into Workflows

To gain the full benefits, automated code reviews should integrate seamlessly into developer workflows like:

  • Code editors to surface issues while programming
  • Version control via git hooks to scan on feature branch commits
  • CI/CD pipelines to analyze PR diffs and prevent defective code merging to master
  • Issue trackers like Jira to auto-link code problems for assignment and resolution
  • Dashboards providing real-time visibility into code quality metrics

This level of native integration motivates developers to resolve items early rather than ignoring external tools.

For comprehensive coverage, consider combining 2-3 automated review solutions like:

  • Codacy + Snyk = Foundational code quality + application security
  • Codebeat + Codegrip = Rapid workflows + team standards at scale
  • Deepsource + Codiga = Unified dev/sec/ops + real-time IDE feedback


In summary, automating code reviews is now tablestakes for achieving security, quality bars, and development velocity needed to compete.

Leading solutions like Codacy, Codebeat, Deepsource, Snyk, Codegrip, and Codiga enhance developer productivity, application quality, and release cycles.

Evaluate options based your tech stack and objectives to determine the optimal automated code review integration powering modern software success.

What lessons have you learned from implementing automated code analysis? Please share other recommendations in the comments below!