debug · 24 workflows
Stop fires. Find regressions. Catch silent bugs.
Adaptable investigations for cases, deploys, regressions, and customer reports. Each example names the evidence and uncertainty an agent must preserve.
- intermediate · 5 minutes ★ featured
Investigate one customer-reported problem
Review the minimum identity-linked product evidence for an authorized support case, corroborate any real error case, and prepare a reply that preserves uncertainty.
#errors#analytics#customer-support#replay#privacy - beginner · 3 minutes ★ featured
Investigate errors after the latest deploy
Review cases first seen after a trusted deploy, distinguish SHA attribution from timing correlation, and inspect the highest-impact evidence before proposing a fix.
#errors#deploys#post-deploy#oncall#regression - intermediate · 5 minutes
Find slow API routes by customer and plan
Rank API endpoints by p95 latency, error rate, customer, and plan so engineering can fix performance where it affects revenue.
#analytics#api#latency#devtools-api#performance - intermediate · 5 minutes
Detect frontend performance regressions
Compare page-load and interaction timing by release, browser, and route so frontend regressions are visible beside errors.
#analytics#frontend#performance#releases#browser - intermediate · 5 minutes
Find integration setup failures
Show where customers fail while connecting integrations so engineering and CS can fix the highest-impact setup blockers.
#analytics#errors#integrations#onboarding#customer-success - intermediate · 5 minutes
Find queue latency and dead-letter spikes
See which background jobs are backing up, retrying, or landing in dead-letter queues before customers notice stale state.
#analytics#errors#background-jobs#queues#infra - intermediate · 2 minutes
Mobile background-sync failure monitoring
Background sync, refresh, prefetch jobs fail silently and degrade UX. Group failures by task_name and network_type to find the patterns.
#errors#mobile-app#background-jobs#oncall#infra - intermediate · 2 minutes
Find IE/Safari/old-Chrome-only crashes
Split client-side errors by browser and version. Surface fingerprints concentrated in one engine — usually older Safari or a stale Chromium.
#errors#browser#client-side#frontend#sentry-alternative - intermediate · 2 minutes
Track static-asset 404s per release
Group asset 404s by URL and deploy SHA. Catch stale CDN caches and missing hashed bundles before users see a blank page.
#errors#cdn#release#deploys#frontend - intermediate · 1 minute
Diagnose CORS errors after a deploy
Find CORS-blocked requests grouped by origin and endpoint. Surface the misconfigured Access-Control-Allow-Origin from a recent service move.
#errors#cors#deploys#post-deploy#infra - intermediate · 2 minutes
Track crash-free user rate per app version
Distinct users who hit a crash divided by DAU, per app version. The industry-standard mobile health metric — surface version-by-version drops fast.
#errors#mobile-app#crash-free-rate#app-version#sentry-alternative - advanced · 2 minutes
Find connection-pool / timeout patterns in errors
Surface DB connection exhaustion, statement timeouts, and deadlock retries. Find the original slow query starving everything else.
#errors#database#infra#scaling#oncall - beginner · 30 seconds
Find what broke after the last npm update
Tie new error fingerprints to the deploy that bumped dependencies. Spot the silent regression nobody intended to ship.
#errors#regression#dependencies#deploys#post-deploy - advanced · 3 minutes
Which user action triggers which error?
Join errors and analytics events by distinct_id and timestamp. For each top fingerprint, surface the user action that immediately preceded it.
#errors#analytics#cross-signal#sentry-alternative#posthog-alternative - beginner · 1 minute
Compare error rates between staging and prod
Diff fingerprints between staging and production. Find what's already breaking in staging that the next deploy will carry into prod.
#errors#environments#pre-deploy#staging#oncall - intermediate · 1 minute
Diagnose a flaky CI test from its error payloads
Group test failures across CI runs by error pattern. Get a verdict — real bug or timing — without the manual archaeology.
#errors#ci#testing#oncall#flaky-tests - intermediate · 2 minutes
Rank errors by revenue impact, not raw count
Multiply users-affected by their plan ARR to surface the bugs costing real money. Stop triaging by event volume.
#errors#revenue#triage#account-health#b2b - intermediate · 1 minute
Catch display-vs-actual-stock mismatches
Find inventory sync errors trending up by warehouse and SKU before customers do. The 'in stock' display lie is one of the highest-cost bugs in ecommerce.
#errors#inventory#ecommerce#infra#oncall - intermediate · 1 minute
Detect a 429-spike before customers tweet about it
Trend HTTP 429 responses week-over-week and flag spikes. Catch third-party rate-limit tightening or a runaway customer integration.
#errors#rate-limiting#early-warning#oncall#datadog-alternative - beginner · 2 minutes
Find the products driving refunds
Compute refund rate per SKU over 90 days. One bad product can poison your margins — refund-rate-per-SKU separates the herd from the outliers.
#analytics#refunds#ecommerce#quality#customer-support - advanced · 10 minutes
Use a redacted session replay as supporting evidence
Inspect one authorized, consented recording around a reported problem, distinguish rendered observations from inference, and avoid treating replay as automatic root cause.
#analytics#replay#customer-support#privacy#debugging - beginner · 10 seconds
Find the bugs 5 people hit but no one reported
Surface real errors that affect multiple users but never get filed as tickets. The biggest source of silent churn.
#errors#oncall#retention#saas#sentry-alternative - intermediate · 2 minutes
Diagnose Stripe `card_declined` patterns
Group Stripe payment failures by decline_code. Surface the top causes and the customers affected. Different decline = different fix.
#errors#stripe#ecommerce#payments#customer-support - intermediate · 1 minute
Find the cron that fails every Sunday at 3am
Bucket errors by hour-of-day and day-of-week to surface periodic failures hiding inside normal noise.
#errors#cron#time-series#ops#infra
Adapt a workflow in your own agent.
Send this to Claude Code, Cursor, Codex, or any coding agent. It uses the HTTP API, sets you up, and adapts the workflow to your saved signal map and query blueprints.
Agentry gives coding agents production context from errors, product analytics, and deploys through one HTTP API. Fetch and read https://agentry.sh/install.md completely, then install Agentry's full first-time telemetry baseline in this repository. I authorize device-code login, saving the owner key only to ~/.agentry/credentials.json, creating one Agentry project for this repository, and read-only inspection of shipped source plus hidden CI/provider configuration. Deeply analyze the product's business logic and complete value flow before choosing telemetry. Save the complete source-backed plan and show me its exact contents and hash. Until I explicitly approve that plan or request a replacement, do not edit app/CI source, place runtime/CI credentials, commit, exercise product traffic, start proof, push, or deploy. After approval, I authorize only the reviewed targets: place the required scoped browser/server/CI credentials through the established environment or secret mechanism, preserve existing telemetry, implement and test the baseline, commit it, push that reviewed commit when the shipped CI/provider path requires it, exercise safe proof paths with test/non-customer data, and perform one deployment through the reviewed shipped CI/provider path. Ask first if proof would charge money, contact a third party, change real customer data, or require new external access. After the plan is saved, immediately before every onboarding state-changing POST, GET current onboarding state, perform only its single returned next_action, then read state again; do not batch or infer later stages. Continue until status is verified, installation_complete is true, and next_action is null. Keep all secrets, source snapshots, proof markers, and scratch files outside the repository.
- 1. Open your repo in Codex, Claude Code, Cursor etc.
- 2. Paste the install prompt.
- 3. Your agent reads the install doc and shows you an implementation plan for approval.