Codacy AI Reviewer vs GitHub Copilot Autofix

Quick answer

Codacy AI Reviewer (Codacy) and GitHub Copilot Autofix (GitHub) are both listed in the Code security category of Agent Index.

They share no framework tags in our dataset.

This is not a ranking.

Codacy AI Reviewer (Codacy) and GitHub Copilot Autofix (GitHub) are both listed in the Code security category of Agent Index. They share no framework tags in our dataset.

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Field Codacy AI ReviewerGitHub Copilot Autofix
Vendor CodacyGitHub
HQ Portugal · EuropeUnited States · North America
Primary category Code securityCode security
Also listed in Code security, SecurityCode security, Security
Summary Hybrid AI pull-request reviewer from Codacy (Lisbon). Combines static analysis with LLM context; vendor pages include security-vulnerability feedback and suggested fixes.LLM-generated suggested fixes for GitHub code-scanning alerts (CodeQL), plus agentic autofix (generally available 15 Oct 2026), where an alert is assigned to Copilot, which investigates, validates a fix and opens a pull request. Part of GitHub Code Security / Advanced Security.
Frameworks (vendor-stated) ——
Frameworks (vendor-claimed) ——
Capabilities / tasks pr review, appsec, sast, code quality, remediationappsec, sast, remediation, vulnerability management, pr review
Pricing (as published) Developer IDE plugin is $0. Team plan, which includes AI Reviewer, starts at $18 per developer/month billed annually ($21 monthly) on codacy.com/pricing. Business is custom.Included with GitHub Code Security. Public repositories: available at no extra Code Security licence. Private/internal repositories: GitHub Code Security is published at $30 USD per active committer/month on github.com/security/plans. Not a Copilot seat add-on; GitHub docs say no Copilot subscription is required. Agentic autofix (GA 15 Oct 2026) is usage-billed: AI Credits from the Code Security budget plus Actions minutes; requires a Copilot billing method.
Pricing model freemiumfreemium
Primary source https://www.codacy.com/ai-reviewerhttps://docs.github.com/en/code-security/concepts/code-scanning/autofix-for-code-scanning
Last checked 2026-10-182026-10-21
Official site https://www.codacy.com/ai-reviewerhttps://docs.github.com/en/code-security/concepts/code-scanning/autofix-for-code-scanning

FAQ (from this dataset)

What is the difference between Codacy AI Reviewer and GitHub Copilot Autofix?

Both are listed under Code security. Shared tasks: pr-review, appsec, sast, remediation. Codacy AI Reviewer-only tasks: code-quality. GitHub Copilot Autofix-only tasks: vulnerability-management. Differences are from stored category and task tags, not a ranking.

Which one publishes pricing?

Codacy AI Reviewer: Developer IDE plugin is $0. Team plan, which includes AI Reviewer, starts at $18 per developer/month billed annually ($21 monthly) on codacy.com/pricing. Business is custom. GitHub Copilot Autofix: Included with GitHub Code Security. Public repositories: available at no extra Code Security licence. Private/internal repositories: GitHub Code Security is published at $30 USD per active committer/month on github.com/security/plans. Not a Copilot seat add-on; GitHub docs say no Copilot subscription is required. Agentic autofix (GA 15 Oct 2026) is usage-billed: AI Credits from the Code Security budget plus Actions minutes; requires a Copilot billing method.

Where are Codacy AI Reviewer and GitHub Copilot Autofix headquartered?

Codacy AI Reviewer publishes HQ in Portugal. GitHub Copilot Autofix publishes HQ in United States.

Side-by-side data is generated from the open dataset. “Vendor-claimed” frameworks are as marketed by each vendor and not verified by Agent Index; framework tags indicate relevance, not certification. Request current quotes from each vendor before buying. This page does not rank or score vendors. Sponsored comparisons, if any, will be labelled.

Also in this use case

Other verified listings that share a task tag or use-case group with Codacy AI Reviewer or GitHub Copilot Autofix. Open a pair page or the use-case table — this is not a ranking.

Use-case comparisons

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