AiMatch

Polylane

Polylane uses AI agents to monitor application telemetry, investigate production issues, and propose fixes as pull requests. Engineering and on-call teams use it to connect cloud resources, code, and telemetry for incident response and production-impact reviews.

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Polylane screenshot

Who it's for

  • On-call engineering teams that want agents to investigate alerts using their metrics, logs, traces, and recent changes.
  • DevOps teams managing supported cloud platforms and observability tools that want a shared graph of resources and issue hotspots.
  • Engineering teams using coding agents that need production context through MCP or the CLI.

Not the right fit if…

  • Teams that need to install the CLI on an operating system other than macOS or Linux: the page only describes setup for macOS or Linux.

How it fits your workflow

Polylane connects cloud resources, repositories, and telemetry into a context graph. Its agents read metrics, logs, and traces on a cadence and assess them against each resource's normal behavior.

When an issue is found, Polylane investigates it, reports evidence, and can propose a fix as a pull request. It can also review code changes against live telemetry and flag potential production impact.

Teams can ask production questions in Slack or provide coding agents with production context through MCP or the CLI. The page says write actions pause for approval and code changes remain subject to review and CI.

Pricing

Free: The page offers a free start, but does not specify the free offering's limits or included features.

The vendor doesn't publish prices. Check with Polylane directly.

Prices checked on Oct 1, 2026 from the vendor's site. They can change; confirm before you buy.

Key features

Production context graph
Maps cloud resources, repositories, and providers into a shared context graph, including resource relationships and issue or change hotspots.
Issue detection and alert intelligence
Agents assess metrics, logs, and traces against each resource's normal behavior to identify issues and group repeated alert firings into an incident.
Incident investigation
Investigates detected issues, reports findings, and cites evidence for its claims, including telemetry and relevant changes.
Production impact analysis
Reviews code changes against live production context and flags changes that could harm production before they merge.
Autofix pull requests
Can investigate an issue and propose a code fix as a pull request for team review.
Instrumentation gap detection
Identifies logging gaps so teams can address missing instrumentation before an incident needs it.

Works with

  • Cloudflare
  • AWS
  • Vercel
  • Fly.io
  • Render
  • Kubernetes
  • PlanetScale
  • Supabase
  • Modal
  • Railway
  • Convex
  • ClickHouse

Limitations to know

  • The page specifies the CLI setup process for macOS or Linux; it does not state support for other operating systems.

Getting started

curl -fsSL https://polylane.com/setup | bash

The page states that CLI setup is for macOS or Linux.

  1. Run the setup command to install the CLI.
  2. Sign in; the page says setup creates an account and connects coding agents.
  3. Connect the cloud platforms, repositories, and observability tools used by the team.

Frequently asked questions

What is Polylane?

The page describes Polylane as a product that gives AI agents context about what a team runs, investigates and fixes issues, reviews code changes against production, answers on-call questions, and provides production context to coding agents.

How does Polylane detect issues?

Agents read metrics, logs, and traces on a cadence and compare them with how each resource normally behaves. The page says anything a team already charts can become a check.

Does Polylane change production without review?

No. The page says every write pauses for approval with the exact request shown, and code changes arrive as pull requests that undergo review and CI.

What does Polylane work with?

The page lists cloud and platform integrations including AWS, Cloudflare, Vercel, Fly.io, Render, Kubernetes, PlanetScale, Railway, Supabase, Modal, and Convex; it also lists ClickHouse, Turso, GitHub, Slack, and observability tools including Datadog, Honeycomb, Axiom, Grafana Cloud, Sentry, Better Stack, OpenStatus, and Logfire.

When can I use Polylane?

The page says Polylane is available now and gives `curl -fsSL https://polylane.com/setup | bash` as the setup command for macOS or Linux.

Can AI agents use Polylane?

Yes. The page says Polylane has a REST API at api.polylane.com and an MCP server at mcp.polylane.com/mcp.