AI CODE REVIEW

Review the change. See what was found. Make the call.

Ironwood reviews code with the AI providers your team chooses and the engineering context you give it. Your engineers can inspect the findings and evidence before deciding what needs action.

Runs in your environmentYour AI providersYour engineering context
Ironwood AIReview complete
High · 3/3 consensusSearch and pagination acceptance criteria not implemented in GET /api/booksBookService.cs:11
High · 3/3 consensusInvalid implicitly typed null variable declaration causes compilation failureProgram.cs:17
High3/3 consensus

Search and pagination acceptance criteria not implemented in GET /api/books

src/BookLending.Api/Services/BookService.cs:11
Claude ✓Gemini ✓OpenAI ✓
Evidence

GetBooksAsync(bool? isLent, CancellationToken cancellationToken) has no title, author or ISBN search parameters and no pagination handling.

Recommended change

Add search filters, page index, page size and total-count handling across the interface, service and endpoint.

Source controlGitHubAzure DevOpsBitbucketRuns in your environment
FROM CODE TO DECISION

The review does not stop at the finding.

Ironwood keeps the code, provider evidence and estimated engineering impact connected to the completed review so your team can inspect what happened and decide what matters.

Engineering impactCompleted review
Estimated ROI570.8%

book-lending-api · 10 Sept 2026

Estimated cost saved$91.90

0.92h estimated engineering time saved

Manual review$108
Ironwood$16.10
AI provider$0.1003
=
Estimated saving$91.90
01

Choose the code

Select one repository or review several related repositories together.

02

Add the context

Bring requirements, coding standards, architecture guidance and project knowledge into the review.

03

Inspect the evidence

See severity, source location and which AI providers contributed to each final finding.

04

Measure the impact

Keep the estimated review cost, time saved and ROI with the completed review.

Multi-repository review2 repositories completed
Repository 1book-lending-api-ghd520026d
Repository 2smart-ui-gap-analyzer4bd60bea
One completed review batch
High · 2/3 providersMissing validation for LendBookRequest datesBookDtos.cs:4
High · 2/3 providersMissing IAliasResolver dependency registrationUiGapAnalyzer.Cli/Program.cs:11
MULTI-REPOSITORY REVIEW

Review related repositories together.

A change does not always stop at one repository. Select several repositories, review each one in the same batch and keep the repository context visible when the findings come back.

  • Select several repositories in one review
  • Choose branch, commit or full repository scan for each
  • Keep findings tied to the repository and source location
  • Run cross-repository analysis when service boundaries matter
  • See one combined batch result and estimated impact
YOUR ENGINEERING CONTEXT

Review code with the context your team already has.

Add coding standards, architecture documents, requirements and technical guidance so Ironwood has more context about the system it is reviewing.

Coding standardsArchitecture documentsRequirementsTeam guidance
Engineering contextReady for review
01 · RequirementsAcceptance criteria

Keep the expected behaviour close to the code being reviewed.

02 · Engineering knowledgeArchitecture & standards

Bring your team's technical guidance into the review context.

Ironwood review contextYour code + your team's context
RequirementsCoding standardsArchitectureProject knowledge

Context stays connected to the review so findings can be checked against more than changed lines alone.

RUN IT UNDER YOUR CONTROL

Run Ironwood in infrastructure your team controls.

Your team controls where Ironwood runs, which repositories it connects to and which AI providers it uses. You manage the credentials. Built-in health and diagnostic tools help you keep the platform running day to day.

Platform operationsCustomer controlled
Platform healthServices operational

Keep the installation, dependencies and review services visible from one operational view.

● Healthy
Review servicesOperationalAPI · worker · review pipeline
AI providersYour configurationOpenAI · Claude · Gemini · Ollama
Source controlConnected by youGitHub · Azure DevOps · Bitbucket
OperationsBuilt inDiagnostics · backup · restore · upgrades
Runs in infrastructure your team controlsCredentials stay under your administration
GitHub, Azure DevOps and Bitbucket
OpenAI, Anthropic Claude, Google Gemini and Ollama
Review history, PDF reports and delivery actions
Jira, Azure Boards and Confluence delivery
Role-based users and configurable permissions
Platform health and diagnostics
Backup, restore and upgrade validation
Licence activation and offline grace
Read the architecture
30-DAY EVALUATION

Use Ironwood with your own code before you buy.

Run the Professional product with two developers for 30 days. Connect your repository, configure your AI providers and engineering context, then use Ironwood on real reviews with your team.

30 days2 developersFull Professional featuresYour repositoriesYour AI providersNo credit card
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TRY IT WITH YOUR OWN CODE

Use Ironwood for 30 days and see whether it works for your team.

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