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6 changes: 3 additions & 3 deletions docs/codacy-ai/codacy-ai.md
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## What is Codacy AI?

Codacy AI is a set of optional features integrated into the Software designed to optimise development workflows and elevate code quality standards through automated issue descriptions, actionable recommendations and false-positive detection, is available for the Customer.
Codacy AI is a set of optional features integrated into the Software, designed to optimise development workflows and elevate code quality standards through automated issue descriptions, actionable recommendations and false-positive detection. These features are available for the Customer.

Codacy AI utilizes only enterprise-grade instances of OpenAI and Google Gemini services with enhanced security, privacy, and data protection features. Customer Code processed through Codacy AI will not be used by Codacy, OpenAI, or any third-party AI provider for training, improving, or developing artificial intelligence models, machine learning algorithms, or any other automated systems.

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!!! note
AI Reviewer is currently only available on GitHub, for all Team and Business plans.

_This feature leverages Google Gemini models, and is strictly opt-in: it will only run on repositories or projects where a repository admin has enabled it._
_This feature leverages Google Gemini models, and is strictly opt-in; it will only run on repositories or projects where a repository or organization admin has enabled it._

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[vale] reported by reviewdog 🐶 [Microsoft.Adverbs] Consider removing 'strictly'. Raw Output: {"message": "[Microsoft.Adverbs] Consider removing 'strictly'.", "location": {"path": "docs/codacy-ai/codacy-ai.md", "range": {"start": {"line": 69, "column": 54}}}, "severity": "WARNING"}
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The AI Reviewer combines the reliability of deterministic, rule-based static code analysis with the enhanced context and prioritization capabilities of AI. It draws in the necessary context from source code and PR metadata to ensure the business intent matches the technical outcome, and can catch logic gaps that conventional scanners (and human reviewers) often miss.
The AI Reviewer combines the reliability of deterministic, rule-based static code analysis with the enhanced context and prioritization capabilities of AI. It draws in the necessary context from PR metadata, Jira ticket if [integration exists](../organizations/integrations/jira-integration.md), source code, and Codacy data to ensure the business intent matches the technical outcome, and can catch logic gaps that conventional scanners (and human reviewers) often miss.
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More details about [AI Reviewer here](../repositories-configure/integrations/github-integration.md#ai-reviewer).

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9 changes: 9 additions & 0 deletions docs/organizations/integrations/jira-integration.md
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!!! important
Uninstalling the Jira integration as described above deletes all associated open items. You can alternatively uninstall the Jira integration on the Jira website: this doesn't delete anything, but it prevents Codacy from opening new Jira-related items.

## AI reviewer context

!!! tip
AI Reviewer is currently only available on GitHub, for all Team and Business plans.

If the repository or organization have the AI Reviewer enabled, it will automatically check the Pull Request metadata for a Jira ticket identifier (AB-1234). The title and description will be fetched to enrich the review context, and crosscheck the deliverable and acceptance criteria with the existing code changes.
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More details about [AI Reviewer here](../../repositories-configure/integrations/github-integration.md#ai-reviewer).

## Creating Jira tickets from issues, dependencies and files

Installing the Jira integration enables the feature of creating Jira tickets from issues, dependencies and files
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!!! note
If you enable the AI Reviewer, consider disabling AI-enhanced comments to avoid receiving duplicate comments on Codacy issues.

The AI Reviewer extends Pull request review with an AI-powered code analysis. It combines the reliability of deterministic, rule-based static code analysis with the enhanced context and prioritization capabilities of AI. It draws in the necessary context from source code and PR metadata to ensure the business intent matches the technical outcome, and can catch logic gaps that conventional scanners (and human reviewers) often miss.
The AI Reviewer extends Pull request reviews with an AI-powered code analysis. It combines the reliability of deterministic, rule-based static code analysis with the enhanced context and prioritization capabilities of AI. It draws in the necessary context from PR metadata, Jira ticket if [integration exists](../../organizations/integrations/jira-integration.md), source code, and Codacy data to ensure the business intent matches the technical outcome, and can catch logic gaps that conventional scanners (and human reviewers) often miss.
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It provides feedback on missing or weak tests, complex or duplicated code, and keeps security concerns up to date. Beyond that, it adds contextual insights about whether the changes follow the requirements, business rules, and logic used in the project.

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