Bash Defensive Patterns
Master defensive Bash programming techniques for production-grade scripts.
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Browse the full catalog → Browse ready-made kits → Build your own set →Sentry + Seer AI debug entegrasyonu production error pipeline kurulumu (SDK init, source map…
An end-to-end production error pipeline pairing Sentry with its Seer AI debugging feature: from SDK init through source-map upload, severity-tiered alert routing, and the AI suggested-fix loop. It moves teams from reactive ('I find out when users complain') to proactive ('I'm alerted in 2 minutes with an AI root-cause hypothesis'), cutting mean-time-to-resolve dramatically.
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Most Sentry setups stop at SDK init and call it monitoring. This one carries the error all the way: sampled tracing, privacy-hardened payloads, release-linked source maps, tiered alerting, and a Seer AI fix loop that ends in a reviewed PR.
sentry-seer-integration · core
core active · 6 lines
Setting up Sentry on a new Next.js, Astro, or Python project
Wiring source-map upload and release tagging into CI
Building severity-tiered alert routing to Slack, Telegram, and PagerDuty
Running the Seer AI suggested-fix to PR loop on production issues
Reducing alert fatigue with a 4-tier issue triage classifier
Filtering PII for GDPR/KVKK compliance with a beforeSend hook
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Detect critical errors within 2 minutes instead of when customers complain
license: perpetualCut mean-time-to-resolve with AI root-cause suggestions as a debugging starting point
license: perpetualStop alert fatigue so only true CRITICAL and HIGH issues page on-call
license: perpetualStay privacy-compliant with email hashing, IP masking, and credit-card redaction
license: perpetualsubscriptions expire · deeds don't
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SDK init configs for Next.js client/server/edge with dynamic sampling
6 parts · one working system · ships instantly by email
From the field · a real case
Engineering teams running production web or API apps who want proactive error detection, AI-assisted debugging, and privacy-safe alerting instead of reactive firefighting.
then this was forged for you.Universal by design: these run in any AI. Delivered in the open Agent Skills + MCP format (native in Claude); ChatGPT, Gemini, Cursor and Copilot adapt the same files their own way.
Yes. Setup covers Next.js, Astro, and Python projects; the Next.js client/server/edge SDK configs are the most detailed part, while alert routing, the 4-tier triage classifier, and the PII filter pattern are stack-independent.
Seer produces an AI root-cause hypothesis and a suggested fix, and the included script posts that to a PR comment as a debugging starting point. It shortens the hunt; a human still validates and ships the fix.
No. It's detection and response, not prevention: 2-minute alerts, severity-tiered routing so only CRITICAL and HIGH issues page on-call, and a faster path to resolution. Code quality work sits upstream of this pipeline.
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