Incident-aware code review
Reads the full diff and checks changes against past incidents so reviewers can see whether a change resembles a known failure pattern.
Entelligence AI
RevendiquerEntelligence AI is an AI assistant for engineering leadership, connecting code review, incident management, sprint retrospectives, and leadership Q&A.
Overview
Entelligence AI is an AI assistant for engineering leadership. It is presented as a system that helps teams review code, understand production behavior, manage incidents, and track sprint execution from one place.
The product centers on a closed loop that connects code changes with production context. The site says Entelligence learns from incidents, watches live production signals, and uses that memory to reduce repeat failures while giving leaders clearer visibility into engineering work and AI spend.
Core capabilities
Unified production memory
Connects codebase context, observability data, incident history, PRs, and agent sessions into a shared production intelligence model.
Production context in the review flow
Surfaces production signals such as traces, logs, and metrics so teams can understand what broke and why before approving changes.
Incident management loop
Turns incidents into searchable precedent, then uses that history to help diagnose issues, propose fixes, and verify changes in production.
Sprint retrospectives and delivery analysis
Evaluates sprint execution with DORA metrics and delivery signals to show progress, slip, blockers, and quality trends during a sprint.
Leadership Q&A and engineering insights
Lets leaders ask Ellie for an answer about engineering status, AI spend, and delivery performance from a single interface.
Where it fits
PR review with incident history
Use Entelligence to review pull requests with production context so reviewers can spot patterns that match previous incidents before merge.
Incident triage and prevention
Use the incident workflow to turn alerts, regressions, and postmortems into searchable precedent that informs the next fix and verification step.
Sprint health reviews
Use sprint retrospectives to compare sprint goals, execution, DORA metrics, blockers, and quality signals, then surface the gaps that affected delivery.
Leadership status checks
Use Ask Ellie when engineering leaders need a quick answer about team performance, delivery trends, or AI spend without digging through multiple dashboards.
CLI-based code review
Use the CLI review flow when developers want senior-level feedback and suggested fixes without leaving their terminal environment.
Pros and Cons
Pros
- Connects code review, incident response, and sprint visibility in one product family.
- Uses incident history and production signals rather than isolated diff comments.
- Supports multiple workflows for engineering leaders, developers, and platform or security teams.
- Shows concrete product surfaces for code review, sprint retrospectives, and Ask Ellie.
- Provides examples of working with common engineering tools such as GitHub, PagerDuty, Datadog, Sentry, Linear, and Jira.
Cons
- The public pages do not spell out full pricing, plan structure, or self-serve signup details.
- Integration coverage is visible in examples, but the source does not provide a complete supported-tools list or setup documentation.
- Several capabilities are described across separate pages, so readers may need the product team to clarify how the modules fit together in practice.
FAQ
What is Entelligence used for?
Entelligence is an AI assistant for engineering leadership that connects code, production signals, and team delivery data. The source pages position it for code review, incident management, sprint retrospectives, and leadership visibility.
How is Entelligence purchased?
The site shows separate experiences for code reviews, sprint retrospectives, and Ask Ellie, plus a pricing page that routes visitors to book a demo or talk to sales. The public pages do not clearly describe self-serve account creation or published plan prices.
What workflows does Entelligence support?
The site says Entelligence reviews PRs against past incidents, watches production signals, and can surface issues in the CLI. It also mentions sprint execution analysis using DORA metrics and delivery signals.
Which tools does Entelligence integrate with?
The source pages highlight GitHub, Sentry, PagerDuty, Datadog, Linear, Jira, PostHog, and Mixpanel on different product pages, but integration coverage is incomplete and may vary by module.
Quick Facts
- Category
- Developer Tool
- Primary users
- Engineering leaders, developers, managers, security and platform teams
- Core workflow
- Code review, incident management, sprint retrospectives, and leadership Q&A
- Pricing
- Contact sales / book a demo
- Website
- entelligence.ai
- Notable context
- Uses incident history and production signals to inform reviews