Self-healing software

Stop triaging bugs. Start reviewing fixes.

Prilog ingests production logs, maps each incident to the exact code path, and drafts a review-ready fix, designed to cut MTTR by up to 90%.

Logs and traces from Datadog, SigNoz, AWS, GCP & Azure
Mapped to your codebase in GitHub or GitLab
Route follow-up to Jira, Linear, or GitHub Issues

Start for free Book a demo

Detected

Example fix payments-api · src/billing/capture.ts · 3 min 42 sec ago

CI Passed

Duplicate charges after payment retries

export const capturePayment = async (order: Order) => {
  const key = buildChargeKey(order.id, order.paymentIntentId);
  const existing = await charges.findByKey(key);

  if (existing?.status === "captured") {
    logger.warn("billing.duplicateCapturePrevented", { orderId: order.id });
    return existing;
  }

  const charge = await gateway.capture({
    paymentIntentId: order.paymentIntentId,
    amountCents: order.totalCents,
    idempotencyKey: key,
  });

  return charges.record(order.id, charge, key);
};

90% lower MTTR

Hours of debugging into minutes to review

Recurring production issues land as drafted fixes, not noisy alerts.

Mappedto code

Root cause with full context

Logs, deploys, and ownership are correlated to the exact file before any fix.

Humanapproved

Every fix stays reviewable

Open a PR or route the work to your backlog. Your team decides.

“Other tools give you a diagnosis. Prilog gives you the cure: a reviewed PR your team can actually ship.”

// THE PRILOG THESIS

Product

From production issue to approved fix.

Connect production logs, repositories, and task-routing tools once. Prilog maps incidents to the right code path, drafts a review-ready fix, and routes follow-up work back into the workflows your team already uses.

01 / IN

Production logs and traces in

Ingest recurring issue signals from your live stack and focus the team on what matters.

Datadog

SigNoz

Honeycomb

New Relic

OpenTelemetry

AWS

GCP

Azure

02 / ENGINE

Issue-to-PR engine

Turns production issues into review-ready fixes with code context, rationale, and human-approval guardrails.

Prilog

OpenAI

Anthropic

Ollama + memory graph

03 / OUT

Reviewed PRs & tasks

Draft PR-ready patches into GitHub or GitLab, or route the next step to Jira, Linear, or GitHub Issues.

GitHub

GitLab

Bitbucket

Jira

Linear

503 · gateway timeout spike · 2.4× baseline service · payments-api region · eu-central-1

In · Telemetry Logs & Traces

In · Behaviour User Signals

In · Code System Dependencies

In · Runtime Cloud & Infrastructure

Out · Reviewed Self-healing PR Fixes

PRILOG MEMORY

Production
Remediation Graph

incidents · code · reviews · fixes

Memory

A self-healing system, not a one-shot fix.

Prilog is designed to remember how your system fails across services, dependencies, and deploys, how your team reviews fixes, and which remediations actually survive deployment.

A model can generate a patch from a prompt. Prilog connects incidents, repos, service dependencies, review feedback, and recurrence into a production remediation graph so every approved fix makes the next incident faster to resolve.

How it works

Detect. Map. Draft. Review.

Connect once, then move recurring issues into the review workflow your team already trusts.

Detect

Surface recurring production issues from logs and focus the team on the incidents worth fixing.

Map

Correlate the issue to the right repository, service, deploy history, and exact code path.

Draft

Generate a review-ready fix with rationale, impacted files, and the proposed remediation.

Review & route

Approve the PR, or route follow-up to GitHub Issues, Jira, or Linear when backlog is the right home.

Pricing

Priced by usage. Start free.

Run a 7-day trial, then choose the workspace that matches how many repos and services you want Prilog to cover.

Your workspace Actual Usage

ServicesDeployed services & workers 1 IntegrationsConnected tools & sources 1 Production alerts / bugsIncidents raised per month 10

Your estimate per month

Before Prilog $0 Engineering + outages

After Prilog $0 Fix usage + review time

Estimated monthly savings

$0 0% lower

What you stop paying to fix incidents by hand.

Manual engineering: $0
Outage exposure: $0
Prilog fix usage: $0
Review time: $0
Estimated fixes: 0

Start free trial

7-day trial · No credit card required

Uses conservative defaults: $125/hour engineering cost, 3 hours per bug, 15% expected severe issue rate, 20 outage minutes per severe issue, $500 per outage minute, and $2 per fix.

Starter

$249 +

per month

30 fixes per month
Up to 3 services
$2.00 per AI Credit
Email support

Start for free

Professional

$799 +

per month

120 fixes per month
Up to 15 services
$2.00 per AI Credit
Priority queue
Email & Slack support

Start for free

Enterprise

Custom

per month

Unlimited fixes & services
SSO/SAML, SLA, security review
On-prem support
Custom integrations
Advanced compliance

Book a demo

Integrations

Built for your stack.

Connect Datadog, SigNoz, AWS, GCP, Azure and more for production logs, GitHub or GitLab for code, and Jira, Linear, or GitHub Issues for follow-up work.

Datadog

SigNoz

AWS CloudWatch

Google Cloud Logging

Azure Monitor

OpenTelemetry