Catch issues before they break production.
Praxen Inc. analyses the potential impact of every pull request on production. It checks each change against your live infrastructure and tells you what could go wrong before you merge.
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Praxen Inc. analyses every pull request for its impact on production
It reads the change against the infrastructure it deploys to. If production would break, it comments with the cause, the evidence and a fix, and the check fails. Make the check required and the merge is blocked.
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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.
Praxen Inc. analysed de91b47 for production impact.
Observability
It adds missing observability to your code
When a route can't emit one useful event per request, it adds the instrumentation using the setup you already have, as a small change of its own that can merge first.
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It keeps watching after the merge and finds what broke
Praxen Inc. watches production after every deploy. When something regresses, the issue arrives with the change that landed just before it.
Start watchingIssue 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
What Praxen Inc. analyses in every pull request.
- orders-db config
- checkout-edge capacity
- payments-api dependencies
Checks against live infrastructure
Praxen Inc. compares each pull request with the config, capacity and dependencies of the resources it deploys to.
- production right now
Uses current production data
It looks at what your services are doing right now, so the analysis reflects production today.
- every pull request same analysis
Works on AI-written code
Hand-written or AI-written, every pull request gets the same analysis.
- one event per request added
- your logger no new dependencies
Adds missing observability
If a route can't emit one useful event per request, Praxen Inc. adds the instrumentation as a small change of its own.
- what breaks orders write lock
- evidence query and metrics
- fix one line
Explains how it breaks
Each comment shows what would go wrong, the evidence behind it, and a one-line fix.
- Praxen Inc. production impact required
- check failing
- merge blocked
Blocks risky merges
The 'Praxen Inc. production impact' check fails when production would degrade. Make it required in branch protection to block the merge.
It plugs into what you already run.
Loved by developers
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- Guide How to correlate incidents with deploys using evidence Learn how to correlate incidents with deploys using release markers, metrics, logs and verified GitHub, Vercel, Cloudflare and Kubernetes change events.
- Guide AWS_EMF_ENVIRONMENT: valid values and missing EMF fixes AWS_EMF_ENVIRONMENT overrides EMF library detection. Check Node, Python and Java values separately, trace stdout or agent delivery, and fix missing metrics.
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- Blog How we prevent slop from hitting prod Nothing in your pipeline asks whether a change is safe for prod. This is the check we built that does, and how we got it to finish before your tests do.
Common questions.
How does production impact analysis work?
A GitHub app analyses each pull request against the live infrastructure it deploys to. The result lands as a comment plus a 'Praxen Inc. production impact' check.
Will it block my merges?
Only if you want it to. Require the 'Praxen Inc. 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 analysis catches the mistake.
How is this different from CI?
CI runs your tests against the code. Praxen Inc. analyses 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.
How often does it fail a pull request?
Rarely. Pass is the default, and a fail has to name how a line in the diff breaks production. “Might” does not count.
Does it comment on every push?
One comment, updated in place. Documentation and test-only changes pass straight through without one.
Does the instrumentation it adds bring new dependencies?
No. It writes with your logger, your OpenTelemetry setup and your conventions, and it never logs a secret.