AI accelerates every change.
Conera catches the ones that break.

A living model of your system, built from every change across code, infrastructure, and runtime, so your team and your AI agents cut risk before it ships.

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Your code, logs, and secrets never leave your environment. Conera doesn’t catalog what exists, it understands what happens across your entire system.

Conera · How it works Live model

PR #7325 opened · payment-service commit a3f9c2 pushed · checkout pipeline run #482 deployed · refunds k8s rollout restarted · payment-service terraform apply · network-vpc out-of-band change · prod-db config sync completed · order-status PR #519 merged · payment-service

Verdict

Merge with confidence

Context

Code with memory

Ask

Plan with foresight

Every commit, deploy, and infra change on Azure, AWS, or Google Cloud streams into one model that reasons before you ship.

AWS Azure Google Cloud

Built for teams running production on

AWS Azure Google Cloud GitHub Azure DevOps GitLab Kubernetes

Teams ship change.
Nothing remembers what it touches.

Every merge, deploy, and config change ripples through dependencies no one has in working memory, until something breaks the same way twice.

Reason before you ship.

From verdict to agent context to brainstorm: one living model, three ways to act.

Verdict

Merge with confidence

An operational verdict on every change: never "is this code good," always "will this break the system?"

Learn more →

Agent context

Code with context

Coding agents query the same memory, so they stop writing code blind to production reality.

Learn more →

Ask & brainstorm

Plan with context

Ask what a service depends on, what relies on it, and what broke last time, before writing a line of code.

Learn more →

Teams ship changes without a complete memory of what those changes usually touch.

Risky pull requests merge without an operational verdict before impact shows up.

When incidents happen, the same root causes are rediscovered from scratch.

And now AI agents write your code, with zero knowledge of the production reality they're changing.

What Conera knows

payment-service

Living model

What it is

Handles checkout traffic on AWS, behind the public API gateway.

What it touches

Depends on Redis and Postgres; relied on by checkout, refunds, and order-status, so a failure here ripples outward.

How it behaves

A hot path: thousands of requests a minute at peak.

What it remembers

A dependency upgrade caused a 40-minute outage in May. Conera recorded the cause and the fix, so when that upgrade appears in a pull request again, the review flags it before merge.

Learned, not curated.

The story

Beat 1

A dependency upgrade ships in PR #482.

Beat 2

Minutes later, payments starts failing under live traffic.

Conera · Memory Recorded

Observed: PR #482 (Redis upgrade) → payment-service connection-pool exhausted under peak load → resolved by pool-size override.

Beat 4

The team rolls back, confirms the pool-size mismatch, and Conera records the working configuration.

Beat 5

Three weeks later the same upgrade appears in another pull request.

acme/payments · PR #519 Before merge

Conera Review

High risk: this same upgrade crashed payment-service in May (inc_31) by resetting the connection-pool size. Surfacing the recorded pool-size fix in the review.

Where the model shows up

Verdict

A verdict on every change

An operational verdict before merge: never "is this code good," always "will this break the system?" Verdicts cover cloud-level risk on Azure, AWS, and Google Cloud as naturally as deployment risk.

acme / payments Open

Adds mutual-TLS to payment-service outbound calls, loading the client cert from Azure Key Vault at startup.

#519 opened by u763d · wants to merge into main

conera-verdict bot reviewed Commented

Left a review

Medium risk: mutual-TLS on payment-service outbound calls via Azure Key Vault at startup.

Why it matters

payment-service peaks at ~10,000 requests/second, and Key Vault throttles at ~2,000 calls per 10 seconds. If the certificate is read per request instead of cached at startup, Key Vault will throttle and outbound calls will fail.

If the cert can't be fetched at startup, the pod crash-loops.
Needs the workload identity to read the cert, and the vault URI + cert name in payment-ConfigMap to be correct.
The partner endpoint must accept the client cert, or the TLS handshake fails.
If it breaks, impact stays contained to payment-service.

Before you merge

Confirm the workload identity can read the cert in Key Vault
Verify the vault URI + cert name in payment-ConfigMap
Confirm the partner API accepts this client cert
Test startup in non-prod, watch for CrashLoopBackOff

Based on 5 recorded facts, 1 incident, and 2 clean deploys of this same change pattern.

Conera · Context

Agent context

Agents stop coding blind

Coding agents and assistants query the same memory, so they stop writing code blind to production, regardless of whether it deploys to Azure, AWS, or Google Cloud.

Ask & brainstorm

Ask before you build

Developers ask what a service depends on, what relies on it, and what broke last time someone touched it, before writing a line of code, on any cloud the service runs on.

Conera · Ask

Conera

Built for production.
Not for yesterday.

A living model that learns from every change and outcome, across any cloud.

<1 day

To first model

Connect your repos and cloud; the model starts forming from your existing history immediately.

3 clouds

One picture

Azure, AWS, and Google Cloud modeled as one operational system: infra, not just code.

Zero

Curation from you

The model builds itself from your changes and their outcomes, nothing to maintain by hand.

Trust

Private by design

Conera reads with least-privilege, read-only access, it understands your system without your source code, logs, or cloud configuration ever leaving your environment.

Category	Maintains itself	Remembers outcomes
Developer portals	No	No
Observability	No	No
AI incident tools	No	No
AI code review	No	No
Conera	✓	✓

Factual framing only: category-level comparison.
Conera combines both properties in one system memory, across every cloud a system runs on.

Every change it sees makes it sharper. Every outcome deepens what it knows.

AI accelerates every change.
Conera catches the ones that break.

Teams ship change.
Nothing remembers what it touches.

Reason before you ship.

Merge with confidence

Code with context

Plan with context

payment-service

Where the model shows up

A verdict on every change

Adds mutual-TLS to payment-service outbound calls, loading the client cert from Azure Key Vault at startup.

Agents stop coding blind

Ask before you build

Built for production.
Not for yesterday.

Ship with
context

Key Vault will throttle under peak load

Startup now depends on Key Vault

Access, config, and the partner must line up

AI accelerates every change.Conera catches the ones that break.

Teams ship change.Nothing remembers what it touches.

Reason before you ship.

Merge with confidence

Code with context

Plan with context

payment-service

Where the model shows up

A verdict on every change

Adds mutual-TLS to payment-service outbound calls, loading the client cert from Azure Key Vault at startup.

Agents stop coding blind

Ask before you build

Built for production.Not for yesterday.

Ship withcontext

AI accelerates every change.
Conera catches the ones that break.

Teams ship change.
Nothing remembers what it touches.

Built for production.
Not for yesterday.

Ship with
context