Production reliability engine

One closed loopfor production reliability.

Entelligence reviews every PR against past incidents, watches production live, and heals what breaks before the same failure ships twice.

#1 on benchmark·47.2% F143% of incidents auto-resolvedSOC 2 Type II
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Production Intelligence World Model

Every production signal, connected in one living graph.

  1. 01Codebase

    Every change, read in full context: files, functions, and the callers they touch.

    payments/charge.ts · 3 callers
  2. 02Observability

    Spans, logs, and metrics in real time. The why behind every break.

    p99 checkout-api 1.8s, climbing
  3. 03Production Incidents

    Each incident becomes searchable precedent: how the team resolved failure, remembered.

    INC-2231 · 5xx spike, 14:02 UTC
  4. 04PRs

    Every PR matched against historical breakage. Where intent meets scrutiny.

    PR #4821 vs 2 past breakages
  5. 05Agent Sessions

    Often the first sign something is wrong, long before the alerts fire.

    12 reports · “checkout stuck”

Five signals. One closed loop.
A memory that compounds with every incident.

Production Intelligence
World Model

Every production signal, connected in one living graph.

Codebase

Every change, read in full context: files, functions, calls.

Observability

Spans, logs, and metrics in real time. The why behind every break.

Production Incidents

Each incident becomes searchable precedent: how teams resolve failure, remembered.

PRs

Every PR matched against historical breakage. Where intent meets scrutiny.

Agent Sessions

Often the first sign something is wrong, long before alerts fire.

The AI Spend Trap

Where every AI dollar actually goes.

Spend climbs every week. We followed one dollar of it across 1M+ PRs to see how much actually ships.

Where each $1 goes$1.00
$0.44$0.27$0.11$0.18
$0.82 wasted$0.18 ships

Only $0.18 of every dollar reaches production.

Bug fixing
$0.44
Rework
$0.27
Review
$0.11
Reaches prod
$0.18

Measured across 1M+ PRs and 2,400+ organisations

Entelligence Research

The economics of AI code, measured.

The full dataset behind these numbers: where 2,400+ teams' AI budget goes, and what separates the 18% that ships from the 82% that never does.

1M+ pull requests · 2,400+ orgs · updated quarterly

Read the full report →

One closed loop.
So you never pay to fix the same bug twice.

Bug fixing burns $0.44 of every AI dollar. The moment something breaks, Ellie spawns a set of agents to find the root cause in parallel, ships the fix, and verifies it against history, so the same failure never reaches production, or your bill, twice.

Ellie · incident #4,8210:00SEV-2 · openentelligence.ai
Ellietriaging
alert received · triaging
EllieV3
PagerDuty+0s

the loop feeds itself
payments-servicep99 · payments2.14sslo 800mswatching · spans · logs · metrics

1Watch production

Traces spans, logs, and metrics live. A P99 spike on payments-service is ringed in the graph before the pager fires.

INC-441INC-4821RB-12PR #2843pool.ts@@ release path @@const c = pool.acquire()- } catch (e) { throw e }+ } finally { c.release() }return rowswould re-break INC-4821checked against 1,247 incidents

2Review every PR

Checks each diff against every past incident. A leak that would re-break INC-4821 is blocked with the precedent cited.

from memoryINC-4821 · closedknowledge graphrememberedverified in prod · added to memory

3Resolve and learn

Ships the fix, verifies it in prod, and closes the incident. The root cause is written to the learning graph as memory, so every future review recalls it.

How it works

How Entelligence keeps production reliable.

Three surfaces, one operational memory. Every fix feeds the next review, so the same class of bug never ships twice.

01 · CODE REVIEW

Code review that reads your incident history.

Entelligence reads the full diff, then checks it against every past incident. It cites the exact precedent, not a generic warning.

Production-aware review. The same class of bug never ships twice.

47.2% F1 scoresingle-digit false-positive rate

Runs in your terminal too.

Review and fix without leaving the CLI.

Open the CLI →
src/payments/processPayment.ts+3
@@ -52,3 +52,6 @@ function processPayment
5252 async function processPayment(order) {
53+ const response = await fetch(`/api/charge`, {
54+ method: 'POST', body: JSON.stringify(order)
55+ });
5356 return response.json();
5457 }
E
entelligence-aibotcommented 2 min ago

This pattern matches Incident #2847 (SEV-1, payment timeout).

The original incident took 4 hours to resolve. This fetch() has no timeout and no connection-pool metrics, the same gap that caused the cascade.

response = await fetch(`/api/charge`, {
timeout: 5000,
signal: AbortSignal.timeout(5000),
});
cites Incident #2847suggests p95 latency alert

02 · INCIDENT MANAGEMENT

Turn every incident into prevention.

Connect your stack. Entelligence learns from past incidents, detects what shouldn't be happening, diagnoses the broken line, opens the fix, and verifies it in production.

Every incident becomes searchable precedent. The loop compounds, so each one makes the next less likely.

184 past incidents indexedevery fix verified before close

Incident Intelligence

Turn past incidents into preventative knowledge

1

Integrate

Connect your stack

2

Learn

Read code + incidents

3

Detect

Catch anomalies early

4

Diagnose

Find the broken line

5

Fix

Open the fix PR + test

6

Verify

Confirm in production

Works withSentry·PagerDuty·Datadog·GitHub+9

03 · AI INSIGHTS

Track the ROI of every AI dollar.

Teams are spending blind on AI code, with no read on what it does to the codebase. Entelligence maps every AI dollar to features shipped, incidents prevented, and value that reaches production.

For the leaders and founders who answer for AI spend. We bridge the gap between AI code and quality shipping.

$0.18 → $0.41 reaches prod61 incidents prevented

entelligence / engineering-intelligence · Q2 goals

AI spend / mo

$48.2k

tokens, all agents

Reaches production

$0.41

↑ from $0.18 per $1

Features shipped

137

↑ 32% vs last qtr

Incidents prevented

61

recurring bugs blocked

Token spend vs. features shipped

Every dollar mapped to output, month over month.

Jan

Feb

Mar

Apr

May

Spend lost to rework
Value shipped

Entelligence Wrapped

Know how your coding agents actually work.

You have run hundreds of hours through Claude, Codex, and Copilot. We show you exactly where those hours went, in one AI dashboard for your code insights.

Get your Wrapped

Why engineering leaders choose Entelligence

Scaling our engineering team meant losing visibility into the codebase. Entelligence gave it back. Every PR, every change, every incident, in one clear picture.
Jorge Torres

Jorge Torres

CEO, MindsDB

43%Bugs Resolved
Read the full case study
2026 AI Code Review Benchmark

Tested on real bugs. Real repos.

8 tools, 67 bugs. Repos: Cal.com, Sentry, Discourse, Keycloak, Grafana. F1 penalizes missed bugs and false alarms.

Read the full benchmark report →
How it connects

Every signal you already run, feeding one world model.

Five kinds of production signal route into Ellie, so a review knows what broke last time and an incident knows what just shipped.

Production
DatadogDatadog
New RelicNew Relic
SentrySentry
Elastic SearchElastic Search
AWS CloudWatchAWS CloudWatch
Azure MonitorAzure Monitor
GCPGCP
Better StackBetter Stack
PostHogPostHog
MixPanelMixPanel
Dupo CloudDupo Cloud
DatadogDatadog
New RelicNew Relic
SentrySentry
Elastic SearchElastic Search
AWS CloudWatchAWS CloudWatch
Azure MonitorAzure Monitor
GCPGCP
Better StackBetter Stack
PostHogPostHog
MixPanelMixPanel
Dupo CloudDupo Cloud
Incidents & Support
PagerDutyPagerDuty
ZendeskZendesk
PylonPylon
PagerDutyPagerDuty
ZendeskZendesk
PylonPylon
Code & AI
GitHubGitHub
GitLabGitLab
CursorCursor
Cursor AICursor AI
CopilotCopilot
WindsurfWindsurf
ClaudeClaude
GitHubGitHub
GitLabGitLab
CursorCursor
Cursor AICursor AI
CopilotCopilot
WindsurfWindsurf
ClaudeClaude
Delivery
JiraJira
LinearLinear
AsanaAsana
DevRevDevRev
JiraJira
LinearLinear
AsanaAsana
DevRevDevRev
Knowledge & Comms
NotionNotion
ConfluenceConfluence
Google DocsGoogle Docs
Google CalendarGoogle Calendar
SlackSlack
DiscordDiscord
FireflyFirefly
NotionNotion
ConfluenceConfluence
Google DocsGoogle Docs
Google CalendarGoogle Calendar
SlackSlack
DiscordDiscord
FireflyFirefly

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We raised $5M to run your Engineering team on Autopilot

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Production reliability, solved.

The AI engineer that reviews every PR against your incident history, watches production, and self-heals when things break. The same class of bug will not ship twice.

Talk to Sales

Production reliability, solved.

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