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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
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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
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.

01

Detect

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

02

Map

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

03

Draft

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

04

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.

Free trial

7 days · 3 fixes · 1 project. No credit card required.

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Starter

$249 +
per month
  • 30 fixes per month
  • Up to 3 services
  • $2.00 per AI Credit
  • Email support
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Most popular

Professional

$799 +
per month
  • 120 fixes per month
  • Up to 15 services
  • $2.00 per AI Credit
  • Priority queue
  • Email & Slack support
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Enterprise

Custom
per month
  • Unlimited fixes & services
  • SSO/SAML, SLA, security review
  • On-prem support
  • Custom integrations
  • Advanced compliance
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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
Honeycomb
New Relic
OpenTelemetry
AWS
GCP
Azure
GitHub
GitLab
Bitbucket
GitHub Issues
Jira
Linear

Production logs in

Bring in recurring issue signals without changing how teams operate.

Reviewed PRs out

Draft fixes straight into GitHub or GitLab once the issue is mapped to code.

Route follow-up cleanly

Send the next step to GitHub Issues, Jira, or Linear when backlog is the better answer.

Enterprise security

Security taken seriously.

Prilog is tenant-scoped, encrypted, and built to minimise sensitive data exposure.

Simple, enterprise-ready controls

Customer data stays scoped, encrypted, and behind human-reviewed safety guardrails. Never used to train models.

  • Tenant-scoped data and remediation context
  • PII and sensitive values stripped or redacted before analysis
  • Data and credentials encrypted at rest by default
  • Human approval and policy guardrails on every fix
  • Customer data is never used for model training
GDPR support

Data residency & processor agreements available.

ISO 27001

Aligned controls across the platform.

SOC 2

Type II controls with continuous evidence.

Enterprise review ready

Security questionnaire & DPIA on request.

World without bugs

Connect your stack. Let Prilog clear your bugs.

Start free, draft your first reviewed PR today, and turn recurring production issues into a workflow your team already trusts.

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