Harness AI Code Review
Harness AI Code Review: A governed AI review option for Harness teams working in GitHub or Harness Code Repository. Ranked #24 of 51 in Code Review Software by our editors (7.0/10); pricing: Free plan · pricing on request; best for harness users wanting governed risk-based review.
At a glance
- Editor score7.0 / 10
- PricingFree plan · pricing on request
- Best forHarness users wanting governed risk-based review
- Free planYes
- Automated analysisYes
- Founded2017 · San Francisco, California, United States
- Facts checked19 Sep 2026
Where it wins
- Groups pull-request diffs by risk and suggests reviewers and labels
- Runs security, credential-leak, performance, and N+1 query checks
- Applies configurable, non-bypassable merge checks across projects
Where it doesn't
- Supports GitHub and Harness Code Repository rather than a broad host range
- Essentials and Enterprise plans use contact-sales pricing
- The product is tied to the Harness delivery ecosystem
Our verdict on Harness AI Code Review
Harness AI Code Review is a web-based pull-request review capability built into Harness Code Repository. It is designed for engineering teams that want risk-based review, configurable AI checks, and governed merge controls in their software delivery workflow. The product groups diffs by logical changes and risk, suggests reviewers and labels, and can use delivery history and the Harness Knowledge Graph for context. It is aimed at teams already working with Harness or GitHub that want review automation connected to delivery governance.
Its strongest differentiator is the depth of the review workflow rather than a single automated comment feature. Teams can configure AI checks at the account, organization, and project levels, while required merge checks cannot be bypassed through squash merges. The review scope includes common vulnerabilities and credential leaks, performance regressions, and N+1 query checks. Insights dashboards extend visibility across repositories. These controls suit teams that need review policy and risk visibility; teams seeking a lightweight review assistant without governed merge requirements may find the approach more than they need.
The plan structure places the product within Harness's broader DevOps offering. The Free Plan costs $0 USD per month, billed monthly, and includes Harness Open Source, Litmus Chaos, and community support. The Essentials Plan adds an all-in-one DevOps bundle covering CI, CD, IaC, and security, with standard support. The Enterprise Plan allows teams to choose modules and includes enterprise-grade features, premier support, and a dedicated account manager; both paid plans use contact-sales pricing. Integration coverage centers on GitHub and Harness Code Repository, so teams built around other code hosts should choose a tool with direct support for those environments.
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Harness AI Code Review pricing
All 3 Harness AI Code Review plans and prices →
Harness AI Code Review fact sheet
| Free plan | Yes |
|---|---|
| Paid from | Not verified |
| Supported code hosts | GitHub |
| Automated analysis | Yes |
| AI code review | Yes |
| Custom review rules | Yes |
| Security analysis | Yes |
| Review analytics | Yes |
| Self-hosted deployment | No |
| Deployment | Cloud |
| Platforms | Web |
| Integrations | 2 integrations: GitHub, Harness Code Repository |
| Pricing | Free plan · pricing on request (source) |
| Website | harness.io |
| Facts checked | 19 Sep 2026 |
Harness AI Code Review integrations
Harness AI Code Review lists 2 integrations on its own site.
- GitHub
- Harness Code Repository
Alternatives to Harness AI Code Review
- BitoA broad code-review platform for teams that want analysis across hosts, tools, and workflows.9.4
- SourceryBroad AI review and security coverage with a free plan and paid team features.9.3
- PR-AgentA flexible, self-hosted PR review agent with broad integrations and configurable AI workflows.9.2
See all Harness AI Code Review alternatives →
Also Ranked In
Harness AI Code Review is ranked in 2 of our directories.
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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