Catch issues before they reach production. Polylane reads each pull request against the infrastructure it lands on.
Polylane catches the pull request that would break production, before it merges.
Get started for freeThe warning lands before the merge. It comments where you review, with the evidence attached.
Add trigram index for order search #482
main from order-search-trgm Merging this pull request may degrade production (high impact).
Merging this blocks every write to orders while the index builds. migrations/0114_order_search_trgm.sql:3 adds CREATE INDEX … USING gin (search_text gin_trgm_ops) without CONCURRENTLY, and a plain CREATE INDEX takes a full write lock on orders for the whole build. Checkout sustains ~38 writes/s on that table; each one queues behind the lock until the build finishes.
To make this safe: build the index with CREATE INDEX CONCURRENTLY outside the transactional migration.
Polylane analysed de91b47 for production impact.
It adds the logging you forgot. Right on your branch, matching your existing setup.
The watching doesn't stop at the merge. Whatever slips through gets caught in production.
Issue hotspot: 4 issues in the last 7 days
Change hotspot: 12 changes in the last 7 days
Change hotspot: 7 changes in the last 7 days
Issue hotspot: 2 issues in the last 7 days
Issue hotspot: 1 issue in the last 7 days
Change hotspot: 3 changes in the last 7 days
checkout-edge
- Critical latency degradation in checkout-edge worker Investigating Seen 2 times 4 minutes ago
- checkout-edge P99 latency above 2s for 5m Investigating Seen 118 times 6 minutes ago
- Subrequest count climbing against its weekly baseline Held 2 hours ago Start investigation
- CPU time p99 above baseline after deploy 4a91c7e Resolved Seen 3 times yesterday
- Cache hit ratio dipped during the analytics backfill No fix needed 2 days ago
- Error rate on /checkout/session above baseline Resolved Seen 9 times 3 days ago
- Durable Object storage reads doubled overnight Held 4 days ago Start investigation
- Subrequest timeout to payments-api, single occurrence No fix needed 5 days ago
- Fix run stopped on a sandbox clone failure Run failed last week
- Wall time p99 regression traced to the analytics backfill Resolved Seen 4 times last week
Peace of mind. Nothing happens behind your back.
Agents should act on your behalf without putting production at risk. Polylane is built so you can leave it alone.
Read-only from the start
Every account connects read-only: AWS through a scoped role, most providers with an API token. Write access is a separate, per-account decision.
Writes are earned
A write pauses the run and shows you the exact call before anything happens, unless you allowed it ahead of time. Nothing reaches production just because an agent decided it should.
PATCH /workers/checkout-edge
reason: restore the Hyperdrive pool to 50
Evidence for everything
Every claim links to the query, log line or deploy behind it. Every run is a transcript you can watch, interrupt and share.
● queryLogs → 4,112 rows cited
● deployHistory → 12 deploys cited
cause: deploy 9f3c2a1 evidence
These prompts already work. Copy one, swap your own service name in, and run it.
Give it to your coding agent and let it cook.
Swap the agent. Keep everything.
Your connections, context graph and memories live with Polylane, not with the agent. When a better coding agent ships, point it at the same MCP server and everything comes along.
- Connections and scopes live in the workspace: connect once, every agent benefits
- Works with Claude Code, Cursor, Codex, OpenCode, VS Code, Pi, and whatever ships next
- Memories, notes and investigations persist: switching agents loses nothing
Polylane runs the whole loop. You step in when it needs you.
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It learns your system first
The context graph connects every resource and dependency across your clouds, repos and observability providers, so Polylane reasons over your real system instead of guessing.
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Detection without thresholds
Built-in checks for every provider, plus checks built from your own saved queries and dashboards. Statistics and an agent decide together, and a metric getting better never raises an issue.
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Investigations that cite their sources
Every claim links back to the query, log line or deploy behind it. Without evidence, the verdict is inconclusive.
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Writes are earned, never assumed
Accounts connect read-only. Write actions pause for your approval, with the request and reason on screen, unless you've allowed it ahead of time. Code changes go through your normal review.
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It gets sharper every week
It remembers what it confirms, keeps daily notes, and re-checks its monitoring queries against real data, so every incident makes the next one faster.
It plugs into what you already run. Connect read-only and start.
Common questions.
How does AI pull request review work?
A GitHub app reviews each pull request against the live infrastructure it deploys to. The verdict lands as a comment plus a 'Polylane production impact' check.
Will it block my merges?
Only if you want it to. Require the 'Polylane production impact' check through branch protection and risky merges are blocked. Leave it optional and the verdict is advisory.
Is this for AI-generated code?
It's for all code, but it matters most when nobody read the change closely. AI-written or hand-written, the same review catches the mistake.
How is this different from CI?
CI runs your tests against the code. Polylane reviews the change against production: the config, capacity and dependencies it lands on, and what they emit right now.
Will it ever merge or deploy on its own?
Not by default. Every change goes through your review, and anything that merges or touches production on its own is something you switch on.