Product overview
What is Entelligence AI?
Entelligence AI is a production-reliability and engineering-intelligence platform. It builds a connected operational model from the codebase, pull requests, traces, logs, metrics, production incidents, and coding-agent sessions. That shared memory lets reviews compare new changes with historical failures and lets incident workflows use recent code and production evidence.
The platform includes production-aware code review, incident detection and diagnosis, automated fix pull requests, production verification, engineering and AI-spend insights, codebase Q&A, generated documentation, a CLI, and a model router for coding agents.
How to Use Entelligence AI
- Connect source control, observability, incident-management, and supporting engineering tools.
- Let Entelligence index code, pull requests, production signals, and prior incidents into its operational memory.
- Run reviews on new pull requests and inspect warnings tied to historical incidents.
- Use incident workflows to detect anomalies, diagnose the broken code, open a fix, and verify it in production.
- Review dashboards that map agent spend and engineering activity to shipped features and prevented incidents.
Core Features
- Production-aware code review: Checks diffs against code context and past incidents.
- Incident intelligence: Detects, diagnoses, fixes, and verifies production failures.
- Operational memory: Connects code, observability, incidents, PRs, and agent sessions.
- Agent insights: Tracks coding-agent runs, costs, rework, and production outcomes.
- Codebase assistant and CLI: Answers engineering questions and supports terminal workflows.
- Model router: Routes coding tasks across models using quality, latency, and cost.
Use Cases
- Pull-request review: Finds risks based on production history rather than generic rules alone.
- Incident response: Traces alerts to code and opens candidate fixes.
- Recurring-bug prevention: Stores resolved incidents as precedent for future reviews.
- AI engineering governance: Measures coding-agent spend and the value that reaches production.
- Engineering leadership reporting: Combines code quality, team delivery, reliability, and AI usage.
Pricing
Entelligence offers free signup. The homepage does not list plan limits or paid prices.
Frequently Asked Questions
Which production signals can Entelligence use?
The homepage lists source code, pull requests, traces, logs, metrics, incidents, and agent sessions.
Can it propose fixes?
Yes. Its incident flow can diagnose a broken line, open a fix pull request, test it, and verify production.
Does it support coding-agent cost control?
Yes. Agent Insights measures spend and outcomes, while Model Router selects models by quality, latency, and cost.
