Entelligence AI

AI code review and engineering analytics with full-codebase context

Hand-reviewed by the Toolglade team·Updated Aug 2026

code-review#code-review#pull-requests#engineering-analytics#deepreviews

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About Entelligence AI

Entelligence AI automates code review with full-codebase-context DeepReviews that flag real cross-file bugs and offer one-click fixes, plus engineering analytics and documentation maintenance.

Entelligence AI is an engineering-leadership platform that combines AI code review with team performance analytics and documentation maintenance. Its code-review agents deliver line-by-line feedback and pull-request summaries, automating a large portion of review work while keeping context across the codebase. The standout DeepReviews capability analyzes pull requests with full-codebase context to catch real bugs, including cross-file issues, and offers one-click fixes. Reviews run inside GitHub and GitLab or directly in editors like VS Code, Cursor, and Windsurf, and the platform integrates with Slack, Jira, and Confluence to keep engineering work connected. Entelligence positions itself against other AI code-review tools and publishes benchmarks measuring precision, recall, and F1 across real pull requests. It emphasizes strength in TypeScript and JavaScript codebases, schema validation, async patterns, authorization logic, and security issues such as SQL injection, making it a fit for teams that want measurable review quality plus leadership-level insight.

TL;DR

Entelligence AI is an AI code-review and engineering-analytics platform whose DeepReviews use full-codebase context to catch real bugs and suggest one-click fixes.

Company overview

Entelligence AI builds AI agents for engineering leadership, spanning code review, documentation maintenance, and team performance analytics. Its goal is to raise review quality while giving managers visibility into engineering output.

The company competes directly in the AI code-review space and publishes benchmarks comparing itself with tools like Greptile, CodeRabbit, and Copilot on real pull requests. It emphasizes measurable precision, recall, and F1 rather than surface-level linting.

Product features

The platform's DeepReviews analyze PRs with full-codebase context, flagging cross-file bugs, schema validation errors, async issues, authorization flaws, and SQL injection, with one-click fixes. Reviews work inside GitHub, GitLab, and IDEs, and an extension provides in-editor feedback.

Broad integrations connect reviews to Slack, Jira, and Confluence, while analytics surface team-level performance. This combination targets teams that want both automated review and leadership insight.

Target market

Entelligence targets engineering managers and fast-moving product teams, especially those on JavaScript and TypeScript stacks who want measurable review quality. It is less suited to air-gapped shops requiring self-hosting.