Entelligence.ai is an AI code review platform with full codebase understanding, designed to catch real bugs and speed up the entire review cycle.
Entelligence.ai reviews pull requests with the whole repository as context, not just the diff, which lets it spot bugs that span multiple files — broken assumptions, mismatched interfaces, forgotten call sites. It posts reviews directly on GitHub and GitLab PRs, and its IDE extension brings the same review intelligence into the editor before code is even pushed.
Beyond review, Entelligence provides engineering intelligence: metrics on review latency, AI adoption and code quality trends, so leaders can see how AI tooling affects delivery. It learns from team feedback, and organizations can define custom rules and trusted-reviewer policies.
The review engine learns continuously from how developers respond to its suggestions, which reduces false positives over time and adapts to each team’s standards. Its IDE extension brings the same context to pre-commit review, catching issues before they consume CI minutes. Engineering leaders get dashboards covering review latency, pickup times and AI adoption metrics, connecting code review quality to delivery performance. Custom rules let organizations enforce house standards — from error handling patterns to API conventions — automatically.
Entelligence.ai provides a free tier for individuals and open source, with per-seat paid plans for teams and enterprise tiers with SSO and advanced controls.
Engineering organizations that want AI review accuracy driven by whole-repo context plus visibility into review process health.
Individuals and open-source projects can use it free; teams and companies subscribe per seat for full functionality.
Integration happens through Git providers and an IDE extension; enterprise customers get deeper integration support.
Its whole-codebase reasoning targets real bugs rather than style nits, and it layers engineering metrics on top of review.
Entelligence.ai integrates with GitHub and GitLab for pull request reviews, and offers IDE extensions that bring review intelligence into the coding workflow.
Engineering teams use Entelligence.ai to review pull requests with full codebase context, catching cross-file bugs before merge. Leaders use its metrics to understand review bottlenecks and AI adoption. The IDE extension helps authors self-review before pushing. Custom rules encode house standards so reviews stay consistent across teams and repositories.